Artificial intelligence in healthcare
Artificial intelligence in healthcare incorporates algorithms, machine learning, natural language processing and emerging AI technology to analyze complex medical data. Healthcare AI assists in diagnostic pathology, treatment planning and patient care management by facilitating greater efficiency and accuracy in clinical decisions, medical research and personalized medicine.
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18 Dec 2024
Supporting GLP-1 prescribing with digital twin technology
GLP-1s have exploded in popularity, but are not suitable for every patient. A digital twin could provide decision support for clinicians without access to expert second opinions. Continue Reading
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17 Dec 2024
AI in medical diagnostics and decision-making
AI technologies enable doctors to improve diagnostic accuracy, personalize treatment plans and streamline clinical workflows. However, they also pose challenges worth considering. Continue Reading
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18 Mar 2024
Generative AI may enhance healthcare-associated infection surveillance
Two AI-driven tools can accurately detect cases of central line-associated bloodstream infection and catheter-associated urinary tract infection. Continue Reading
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15 Mar 2024
Generative AI may bolster digital healthcare software development
New research suggests that generative artificial intelligence could speed the development of health software by improving coding quality and efficiency. Continue Reading
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14 Mar 2024
Predictive tool use has little effect on knee surgery decision-making
The use of a predictive tool designed to forecast outcomes of total knee arthroplasty did not significantly alter patients’ willingness for surgery. Continue Reading
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12 Mar 2024
Machine learning enables prediction of pediatric urinary condition
New tool uses machine learning to forecast risk of dilating vesicoureteral reflux (VUR), a common cause of hydronephrosis in infants. Continue Reading
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08 Mar 2024
Deep learning tool targets ‘black box’ AI problem in medical imaging
Novel deep learning approach designed to flag disease biomarkers in medical images can generate a ‘map’ to explain its diagnostic reasoning. Continue Reading
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06 Mar 2024
Top 10 Challenges of Big Data Analytics in Healthcare
Big data analytics in healthcare comes with many challenges, including security, visualization, and a number of data integrity concerns. Continue Reading
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05 Mar 2024
Machine Learning Predicts Cancer Risk in Liver Disease Patients
Machine learning can forecast which metabolic dysfunction-associated steatotic liver disease patients are likely to be diagnosed with liver cancer in the future. Continue Reading
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04 Mar 2024
AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections
An artificial intelligence-driven smartphone app may help diagnose childhood ear infections and guide appropriate antibiotic treatment. Continue Reading
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04 Mar 2024
Epic Risk Model Moderately Successful at Predicting Acute Kidney Injury
Epic’s Risk of hospital-acquired acute kidney injury model was found to have high predictive value in some cases, but also high false-positive rates. Continue Reading
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01 Mar 2024
AHA Issues Statement on the Use of AI in Cardiovascular Care
The American Heart Association’s recent statement on artificial intelligence explores best practices for utilizing the tools in clinical care. Continue Reading
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29 Feb 2024
Machine Learning Models Predict Mortality Among Dementia Patients
New machine learning tools accurately predicted patient mortality at one, five, three, and 10 years across eight dementia subtypes. Continue Reading
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28 Feb 2024
4 Emerging Strategies to Advance Big Data Analytics in Healthcare
While deploying big data analytics in healthcare is challenging, implementing a few key strategies can help smooth the transition. Continue Reading
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27 Feb 2024
AMA Report Outlines Considerations for AI Integration in Healthcare
“The Emerging Landscape of Augmented Intelligence in Health Care” report provides an overview of risks and opportunities for clinicians looking to adopt AI. Continue Reading
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27 Feb 2024
NLP Framework Could Improve Medical Summarization Tools
Researchers have developed a framework to fine-tune the natural language processing models used in medical text summarization tools. Continue Reading
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26 Feb 2024
Epic Sepsis Model Predictions May Have Limited Clinical Utility
New study suggests that the Epic Sepsis Model may only identify some high-risk patients after sepsis is clinically recognized, rather than before infection onset. Continue Reading
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23 Feb 2024
GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management
Mount Sinai researchers revealed that the large language model GPT-4 can match, and even outperform, human specialists in managing glaucoma or retina disease. Continue Reading
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22 Feb 2024
Deep Learning Model Accurately Detects, Predicts Alzheimer's Disease
Novel deep learning model leverages metabolic biomarkers to predict the likelihood that Alzheimer's disease will develop long before clinical symptom onset. Continue Reading
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21 Feb 2024
Hartford HealthCare Launches Center for AI Innovation
Hartford HealthCare’s Center for AI Innovation will support the research and development of artificial intelligence technologies to improve patient care. Continue Reading
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16 Feb 2024
Auditing Framework Provides Insights into ‘Black Box’ Medical AI
‘Black box’ AI models pose a challenge for healthcare applications, but a new framework may help users understand the tools’ decision-making processes. Continue Reading
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14 Feb 2024
AI Chatbots Provide Inconsistent Musculoskeletal Health Information
Multiple studies indicate that ChatGPT, Google Bard, and BingAI demonstrate limited accuracy when presenting information about orthopedic procedures. Continue Reading
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12 Feb 2024
$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools
Mount Sinai researchers will use a $4 million NIH grant to investigate how artificial intelligence could advance outcome prediction for patients with sleep apnea. Continue Reading
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12 Feb 2024
AI, VR ‘Therapist’ Demonstrates Potential for Mental Health Support
The eXtended-Reality Artificially Intelligent Ally combines generative AI and virtual reality to provide patients with self-administered, conversational therapy. Continue Reading
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09 Feb 2024
AHIMA Launches Resource Hub for Non-Clinical AI Use in Healthcare
The American Health Information Management Association’s new resource hub aims to help healthcare professionals navigate non-clinical AI tools. Continue Reading
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07 Feb 2024
Machine Learning Identifies Drug Candidates for Cardiac Fibrosis
Mechanistic machine learning tools can provide insights into how different drug candidates could minimize harmful scarring following a heart attack. Continue Reading
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06 Feb 2024
What Are the Benefits of Predictive Analytics in Healthcare?
Predictive analytics can enhance healthcare by supporting clinical decision-making, guiding population health management, and advancing value-based care. Continue Reading
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05 Feb 2024
Machine Learning Tool Predicts Heart Failure Treatment Response
New machine learning approach may help identify and predict diuretic responsiveness among patients with acute decompensated heart failure. Continue Reading
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02 Feb 2024
Predictive Model Accurately Tracks Alzheimer's Disease Progression
The DETree framework combines Alzheimer’s progression modeling with individual prediction to forecast how a patient’s disease may develop over time. Continue Reading
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01 Feb 2024
What Are the Top Challenges of Clinical Decision Support Tools?
Clinical decision support tools can provide actionable information, but issues like alarm fatigue can increase clinician burnout. Continue Reading
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31 Jan 2024
Data-Focused Strategy May Hinder Generative AI Deployment in Healthcare
New Deloitte survey suggests that healthcare leaders must focus on data, governance, consumers, and the workforce to successfully implement generative AI. Continue Reading
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29 Jan 2024
UC San Diego Risk Stratification AI Predicts Sepsis, Reduces Mortality
UC San Diego Health’s artificial intelligence tool to predict sepsis infection risk in emergency department patients has reduced mortality by 17 percent. Continue Reading
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25 Jan 2024
ML Model Predicts Complications Following Cardiovascular Interventions
A machine learning model outperformed standard tools for predicting death and other serious complications in patients undergoing percutaneous coronary intervention. Continue Reading
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23 Jan 2024
UCLA Releases Public-Access Surgical Outcomes Database for AI Training
The new Medical Informatics Operating Room Vitals and Events Repository is set to advance the development of AI algorithms to predict surgical outcomes. Continue Reading
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18 Jan 2024
AI-Driven Eye Exams May Increase Screening Rates Among Diabetic Youth
Diabetic eye exams that leverage artificial intelligence may increase exam completion rates and improve patient outcomes among children and adolescents. Continue Reading
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17 Jan 2024
Deep Learning Tool May Help Detect Pediatric Rheumatic Heart Disease
A new deep learning model can detect rheumatic heart disease in children with high accuracy, which could improve screening in areas lacking cardiologists. Continue Reading
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17 Jan 2024
University of Massachusetts DL Model to Predict Alzheimer’s Onset
New NIH-funded project aims to spur the development of a deep learning tool for predicting Alzheimer's two or more years before symptom onset. Continue Reading
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12 Jan 2024
Generative AI May Help Flag Social Determinants of Health in EHR Data
Fine-tuned large language models were able to accurately identify 93.8 percent of patients with adverse SDOH who could benefit from additional support. Continue Reading
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10 Jan 2024
Risk Prediction Model Forecasts Intensive Care Unit Admission, Survival
A population-level risk model may help researchers and clinicians better flag patients at risk of intensive care unit admission and adverse outcomes. Continue Reading
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09 Jan 2024
AI-Driven ECG Analysis Accurately Predicts Right-Side Heart Issues
A deep learning-based electrocardiogram model may enhance clinical evaluations of the heart’s right ventricle, providing a potential alternative to complex imaging. Continue Reading
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08 Jan 2024
Healthcare Stakeholders Plan to Prioritize AI, Analytics This Year
Cedars-Sinai, Emory Healthcare, and Johns Hopkins Technology Ventures leaders share their top AI priorities in the new year. Continue Reading
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05 Jan 2024
Case Western Reserve University to Develop Enhanced Medical Imaging AI
New four-year, $1.1 million project aims to build an AI alternative to traditional medical imaging processes that rely on chemical “contrast agents.” Continue Reading
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03 Jan 2024
Framework to Address Algorithmic Bias in Healthcare AI Models
An expert panel recently determined that mitigating algorithmic bias requires healthcare stakeholders to promote health equity, transparency, and accountability. Continue Reading
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02 Jan 2024
Top Health IT Analytics Predictions, Priorities for This Year
Health IT analytics and artificial intelligence experts say that healthcare organizations should focus on AI governance, transparency, and collaboration in 2024. Continue Reading
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28 Dec 2023
Understanding De-Identified Data, How to Use It in Healthcare
Healthcare data de-identification provides significant opportunities to bolster medical research and patient care, but the process is not without its pitfalls. Continue Reading
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27 Dec 2023
Breaking Down the Fast Healthcare Interoperability Resource (FHIR)
The Fast Healthcare Interoperability Resource (FHIR) standard aims to improve data exchange, but how does it work and how will it impact interoperability? Continue Reading
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26 Dec 2023
Arguing the Pros and Cons of Artificial Intelligence in Healthcare
Artificial intelligence in healthcare is a hot topic, sparking ongoing debate about the ethical, clinical, and human impacts the tech can have on patient care. Continue Reading
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21 Dec 2023
Kaiser Permanente Awards Funding for Healthcare AI, ML Research
Kaiser Permanente’s AIM-HI has awarded funding to five healthcare organizations researching how AI and ML tools can improve diagnostic decision-making. Continue Reading
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19 Dec 2023
Deep Learning Model Predicts Mortality Following Medical Procedures
Patients classified as high risk for postoperative mortality by a new deep learning tool were nearly nine times more likely to die than their low-risk counterparts. Continue Reading
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18 Dec 2023
Large Language Models May Improve Clinician Diagnostic Performance
Probabilistic recommendations from AI chatbots may improve human diagnostic performance through collective intelligence, potentially curbing overtreatment. Continue Reading
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18 Dec 2023
NYC Health Dept. Expands Work to Address Racism in Clinical Algorithms
The Coalition to End Racism in Clinical Algorithms, which examines race adjustment in clinical decision support tools, will expand its focus to include hypertension. Continue Reading
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15 Dec 2023
Providers, Payers Sign Pledge for Ethical, Responsible AI in Healthcare
Over 25 health systems and payers have made voluntary commitments to ensure that health AI leads to fair, appropriate, valid, effective, and safe outcomes. Continue Reading
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14 Dec 2023
AMA Survey Reveals Physicians’ Sentiments on Healthcare AI
New survey data from the American Medical Association shows that a large portion of clinicians are equally concerned and excited about the potential of health AI. Continue Reading
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13 Dec 2023
Google Launches Generative Artificial Intelligence Models for Healthcare
Google’s newly introduced MedLM is a suite of foundation models designed for healthcare, with two generative AI tools built on the large language model Med-PaLM 2. Continue Reading
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13 Dec 2023
Can Digital Twin Neighborhoods Help Tackle Health Disparities?
Cleveland Clinic and MetroHealth are building digital twins to better understand how patients’ neighborhoods impact their health outcomes. Continue Reading
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12 Dec 2023
Predictive Model Accurately Flags Postpancreatectomy Hemorrhage Risk
A new risk model can accurately predict late postpancreatectomy hemorrhage in patients with postoperative pancreatic fistula following pancreatoduodenectomy. Continue Reading
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07 Dec 2023
Predictive Models Flag Need for Nursing Home Care in Dementia Patients
New models to predict need for nursing home level of care in community-dwelling older adults with dementia may help enhance care management. Continue Reading
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06 Dec 2023
AI-Aided Colonoscopy May Improve Colorectal Neoplasia Detection
Artificial intelligence may enhance colorectal neoplasia detection, but more research is needed to evaluate the long-term benefits of AI-aided colonoscopy. Continue Reading
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06 Dec 2023
Large Language Model May Help Better Identify Postpartum Hemorrhage
The large language model Flan-T5 was 95 percent accurate in identifying patients with postpartum hemorrhage, which may help predict those most likely to develop it. Continue Reading
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05 Dec 2023
Deep Learning Model Flags Non-Smokers at Increased Risk for Lung Cancer
A new model has shown that among non-smokers, there is a 2.1 times greater risk of developing lung cancer for those in high-risk groups compared to their peers. Continue Reading
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04 Dec 2023
How Can Medical Schools Educate Students on Artificial Intelligence?
The University of Texas has developed the first dual degree program in the United States to prepare medical students to work with artificial intelligence. Continue Reading
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27 Nov 2023
NIH Funding to Advance “All of Us” Research Program Dataset Use
$9.7 million in awards will fund 26 projects supporting high-priority analyses and tool development using data from the NIH’s "All of Us" Research Program. Continue Reading
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20 Nov 2023
$31M Awards to Support Medical AI Innovation at UTHealth Houston
McWilliams School of Biomedical Informatics faculty received 16 grants to fund projects focused on advancing artificial intelligence in healthcare and medicine. Continue Reading
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17 Nov 2023
Consumers Believe Generative AI May Make Healthcare More Affordable
Deloitte’s 2023 Health Care Consumer Survey shows that over 70 percent of consumers who use generative AI believe the tech could revolutionize healthcare delivery. Continue Reading
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16 Nov 2023
MD Anderson Cancer Center Launches Institute for Data Science in Oncology
The new MD Anderson Institute for Data Science in Oncology is set to combine advanced computational approaches with clinical expertise to transform cancer care. Continue Reading
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15 Nov 2023
Exploring the Role of Cleveland Clinic’s First Chief Analytics Officer
Albert Marinez, Cleveland Clinic’s first chief analytics officer, describes his plan for prioritizing analytics across the enterprise. Continue Reading
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14 Nov 2023
Large Language Model Diagnoses, Triages Without Introducing Biases
UCLA Health researchers determined that Generative Pre-trained Transformer 4 can accurately diagnose and triage patients without introducing racial and ethnic biases. Continue Reading
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13 Nov 2023
Emory University Establishes Empathetic AI for Health Institute
The Emory Empathetic AI for Health Institute aims to support the development of equitable, accessible, and cost-effective artificial intelligence tools. Continue Reading
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09 Nov 2023
Will Clinicians Become Dependent on Artificial Intelligence Tools?
Providers from Sentara and UC San Diego Health weigh in on whether clinicians will come to rely too heavily on AI and what to do about it. Continue Reading
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08 Nov 2023
KLAS: Dimensional Insight, Epic Drive Health Data Analytics Outcomes
Healthcare organizations reported that Dimensional Insight, Epic, and Innovaccer offer the strongest analytics capabilities to track and benchmark desired outcomes. Continue Reading
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07 Nov 2023
Generative AI May Facilitate Improved Chest X-Ray Interpretation
Northwestern Medicine researchers have developed a generative AI model that can outperform radiologists at interpreting chest X-rays in some cases. Continue Reading
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06 Nov 2023
AI Tools May Detect Heart Valve Disease, Predict Cardiovascular Risk
Two studies to be presented at the AHA’s Scientific Sessions show that AI and deep learning may be capable of flagging heart disease and cardiovascular event risk. Continue Reading
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06 Nov 2023
Risk-Based Lung Cancer Screening May Reduce Racial, Ethnic Disparities
A new study validated and recalibrated the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial 2012 risk prediction model across races and ethnicities. Continue Reading
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03 Nov 2023
ML Model Estimates Chemotherapy Success in Bone Cancer Patients
Johns Hopkins Medicine researchers have successfully developed a machine learning model to calculate percent necrosis in patients with intramedullary osteosarcoma. Continue Reading
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02 Nov 2023
$2.3M NIH Award to Support AI-Driven Brain Imaging Research
Indiana University has received a $2.3 million award from the NIH BRAIN Initiative to advance the development of open-source AI tools for brain imaging research. Continue Reading
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01 Nov 2023
Achieving Clinical AI Fairness Requires Multidisciplinary Collaboration
A recently published perspective argues that developing equitable and unbiased AI in healthcare will require clinicians and industry experts to collaborate. Continue Reading
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31 Oct 2023
Publicly Trained LLMs Identify Musculoskeletal Pain Location, Acuity
Publicly trained large language models can accurately flag both the pain location and acuity of musculoskeletal disorders, like lower back, knee, and shoulder pain. Continue Reading
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27 Oct 2023
NLP Tool Flags Signs of Depression, Anxiety in Healthcare Workers
NYU Langone researchers found that a natural language processing tool could identify pandemic-related markers of psychological distress in healthcare workers. Continue Reading
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24 Oct 2023
AI Tool Predicts Blood Clot Risk in Hospitalized Pediatric Patients
Vanderbilt researchers have found that clinicians were reluctant to follow the treatment recommendations of a blood clot risk prediction model despite its accuracy. Continue Reading
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23 Oct 2023
Mount Sinai Develops AI Algorithm to Estimate Brain Age Acceleration
The “HistoAge” model can flag areas of the brain vulnerable to age-related changes and predict age at death within 5.45 years by assessing histological images. Continue Reading
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23 Oct 2023
Washington University in St. Louis Launches AI for Health Institute
The AI for Health Institute is set to develop data-driven tools to advance precision medicine, characterize complex diseases, and support clinical decision-making. Continue Reading
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20 Oct 2023
Locally Run Large Language Models May Help Preserve Patient Privacy
Researchers have demonstrated that a locally run large language model may be useful for extracting data from text-based radiology reports while safeguarding privacy. Continue Reading
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19 Oct 2023
The Clinical Promise and Ethical Pitfalls of Electronic Phenotyping
Healthcare big data mining can provide valuable insights into a patient’s health but may reveal non-disclosed information, raising concerns about patient privacy. Continue Reading
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18 Oct 2023
Mayo Clinic Platform_Accelerate Announces Fourth Health Tech Cohort
Nine health tech startups will join Mayo Clinic Platform’s 20-week accelerator program to refine and validate their artificial intelligence offerings. Continue Reading
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18 Oct 2023
AI Pain Recognition Tool Detects Pain Before, During and After Surgery
An automated, AI-based pain recognition system may provide an unbiased approach to assess patients’ pain and decrease hospital length of stay. Continue Reading
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17 Oct 2023
NIH Award to Establish Data Integration Hub for Common Fund Programs
An $8.5 million grant will support the creation of a data integration hub designed to advance National Institutes of Health Common Fund initiatives. Continue Reading
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13 Oct 2023
Artificial Intelligence Model May Help Predict Future Viral Outbreaks
New AI tool predicts how viruses may evolve to escape the immune system, which could shed light on which viral variants have pandemic potential before they emerge. Continue Reading
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12 Oct 2023
Predictive Models May Negatively Impact the Performance of Future Tools
The impact of predictive modeling on patient outcomes may negatively affect the predictive performance of subsequent artificial intelligence tools. Continue Reading
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11 Oct 2023
AHIMA Launches Social Determinants of Health Data Initiative
AHIMA announced that its new Data for Better Health initiative aims to transform healthcare and improve patient outcomes through the use of SDOH data. Continue Reading
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10 Oct 2023
Generative Artificial Intelligence Collaborative Launched at HLTH 2023
A collective of providers, payers, and other stakeholders have launched VALID AI to explore use cases and best practices for generative AI in healthcare. Continue Reading
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05 Oct 2023
Risk Stratification May Reduce Unnecessary Pediatric Oophorectomies
Following the deployment of a risk stratification algorithm, oophorectomies performed for benign disease in pediatric patients decreased from 16.1% to 8.4%. Continue Reading
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04 Oct 2023
Visualizing, Interpreting, and Disposing of Healthcare Analytics Data
Following healthcare data analysis, stakeholders must properly visualize, interpret, and dispose of information according to established best practices. Continue Reading
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03 Oct 2023
Storage, Management, and Analysis in the Health Data Lifecycle
Data storage, management, and analysis are three of the most crucial steps in a healthcare analytics project, but what does each entail? Continue Reading
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29 Sep 2023
$2.8M NIH Grant to Support Development of Kidney Transplant AI
University of Florida Health researchers will use the funding to evaluate how artificial intelligence may help clinicians better predict kidney transplant outcomes. Continue Reading
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28 Sep 2023
AI Tool May Improve Tumor Removal Accuracy During Breast Cancer Surgery
New AI model designed to predict whether breast cancer tissue has been fully removed from the body during surgery may reduce the need for additional operations. Continue Reading
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27 Sep 2023
University of Texas Awarded Funding for Disease Relapse Prediction AI
A team at the University of Texas at Arlington will use a $450,000 grant to develop a predictive analytics tool to forecast which patients’ diseases will recur. Continue Reading
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27 Sep 2023
The Healthcare Data Cycle: Generation, Collection, and Processing
Understanding data generation, collection, and processing can guide stakeholders looking to tackle various data analytics projects in healthcare. Continue Reading
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26 Sep 2023
AI Achieves High Diagnostic Accuracy in Virtual Primary Care Setting
Providers selected an AI-recommended diagnosis in 84% of virtual primary care cases, demonstrating significant potential to improve patient triage over time. Continue Reading
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25 Sep 2023
How Can Predictive Analytics Help ACOs Boost Value-Based Care Delivery?
Experts discuss how predictive modeling and an analytics partnership helped one accountable care organization advance its goal of “keeping patients healthy at home.” Continue Reading
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22 Sep 2023
ML Predicts Suicidal Ideation Among Sexual, Gender Minority Individuals
A machine learning model using ecological momentary assessment data could forecast 1-, 3-, and 8-month suicidal ideation in sexual and gender minority individuals. Continue Reading
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21 Sep 2023
CDC Awards to Establish National Infectious Disease Forecasting Network
The CDC’s Center for Forecasting and Outbreak Analytics has awarded over $260 million to 13 infectious disease forecasting and analytics centers. Continue Reading
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19 Sep 2023
ML Helps Identify Variations in Individualized Normal Temperature Ranges
A machine learning model determined that age, sex, height, weight, and time of day are factors that contribute to variations in oral temperature measurements. Continue Reading