New & Notable
How the conversation around healthcare AI is evolving
Healthcare AI dominated HIMSS25, with leaders sharing both successes and challenges, highlighting the technology's rapid ascent and ongoing evolution.
AI algorithm determines probability of heart condition
New research shows that calibrating the scores of an AI algorithm can help clinicians identify and triage high-risk hypertrophic cardiomyopathy patients.
10 best practices for implementing AI in healthcare
To overcome hurdles and implement AI successfully, healthcare professionals must institute strong governance, routinely monitor progress, and develop secure and ethical models.
AI model estimates heart failure from single-lead ECGs
Researchers have created an AI model that uses single-lead ECGs to predict the risk of heart failure, which could provide a new risk-stratification strategy for the disease.
Insights
Insights is research conducted by and for TechTarget Xtelligent Healthcare. Our work aims to leverage Xtelligent’s diverse readership of healthcare professionals across various sectors of the industry to understand real-world challenges and identify effective solutions.
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Healthcare Strategies: A Podcast
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A podcast for healthcare professionals seeking solutions to today's and tomorrow's top challenges. Hosted by the editors of Xtelligent Healthcare Media, this podcast series focuses on real-world use cases that are leading to tangible improvements in care quality, outcomes, and cost.
Guests from leading provider, payer, government, and other organizations share their approaches to transforming healthcare in a meaningful and lasting way.
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Latest News
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Survey: Gen AI in healthcare gains momentum across sectors
New survey data show that gen AI in healthcare continues to gain traction across sectors as leaders prioritize administrative efficiency.
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Ambient AI scribes reduce burnout, but cost impact uncertain
Ambient AI scribes reduce clinician burnout and improve patient experience, but their ROI and cost-effectiveness are unclear, a new PHTI report shows.
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New ML tool enables more equitable genomic research
A new machine learning tool could help reduce ancestral bias in genetic data, improving equity in genomic research and personalizing care across diverse populations.
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Study: ML mortality prediction misses 66% of severe injuries
When given test cases with different injury levels, ML mortality prediction models gave inconsistent risk scores, overestimating moderate injuries and underestimating severe ones.
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KLAS: ClosedLoop leads health AI vendors in client satisfaction
In a KLAS report, ClosedLoop clients reported the highest levels of satisfaction across four measured health AI vendors, noting strong partnership.
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PCPs seek additional training to fully trust healthcare AI
New survey data show that while using healthcare AI is common in primary care, clinicians desire additional training to fully trust AI tools.
Features
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7 challenges of AI integration in healthcare and their remedies
The healthcare sector faces many hurdles when adopting AI. Obstacles include setting an AI strategy, dealing with fragmented data, and addressing ethics, security and compliance.
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10 top AI tools in healthcare for 2025
AI tools are transforming healthcare by enhancing efficiency and care quality through predictive analytics and tailored diagnostics. Explore some of the major tools on the market.
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10 benefits of AI in healthcare
Healthcare was one of the first and more notable industries to achieve tangible AI benefits, including image analysis, accurate diagnoses, earlier treatments and patient privacy.
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Arguing the pros and cons of AI in healthcare
Clinical diagnostics, workload reduction and predictive analytics are among AI's advantages in healthcare, but concerns persist about patient privacy, ethics and medical errors.