Tag: patient outcomes
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The Register: AI models still not up to using radiology to diagnose what ails you
Source URL: https://www.theregister.com/2025/05/28/ai_models_still_not_up/ Source: The Register Title: AI models still not up to using radiology to diagnose what ails you Feedly Summary: Researchers develop visual model testing benchmark and find models weak for medical reasoning AI is not ready to make clinical diagnoses based on radiological scans, according to a new study.… AI Summary and…
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OpenAI : Introducing HealthBench
Source URL: https://openai.com/index/healthbench Source: OpenAI Title: Introducing HealthBench Feedly Summary: HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health. AI Summary and Description: Yes Summary: HealthBench is an…
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New York Times – Artificial Intelligence : This Therapist Helped Clients Feel Better. It Was A.I.
Source URL: https://www.nytimes.com/2025/04/15/health/ai-therapist-mental-health.html Source: New York Times – Artificial Intelligence Title: This Therapist Helped Clients Feel Better. It Was A.I. Feedly Summary: In the first clinical trial of its kind, an A.I. chatbot eased mental health symptoms among participants. The technology may someday help solve the provider shortage. AI Summary and Description: Yes Summary: The…
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Hacker News: Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action
Source URL: https://venturebeat.com/ai/mayo-clinic-secret-weapon-against-ai-hallucinations-reverse-rag-in-action/ Source: Hacker News Title: Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses innovative applications of large language models (LLMs) in healthcare, specifically focusing on Mayo Clinic’s approach to mitigating data hallucinations through a “backwards RAG” technique. This…
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The Register: The NHS security culture problem is a crisis years in the making
Source URL: https://www.theregister.com/2025/03/10/nhs_security_culture/ Source: The Register Title: The NHS security culture problem is a crisis years in the making Feedly Summary: Insiders say board members must be held accountable and drive positive change from the top down Analysis Walk into any hospital and ask the same question – “Which security system should we invest in?"…
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Slashdot: Microsoft Unveils New Voice-Activated AI Assistant For Doctors
Source URL: https://slashdot.org/story/25/03/03/227225/microsoft-unveils-new-voice-activated-ai-assistant-for-doctors?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Unveils New Voice-Activated AI Assistant For Doctors Feedly Summary: AI Summary and Description: Yes Summary: Microsoft has launched Dragon Copilot, a voice-activated AI assistant for healthcare professionals designed to automate clinical documentation and enhance patient interaction. This advancement in AI technology not only addresses clinician burnout but also…
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Hacker News: AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis
Source URL: https://developer.nvidia.com/blog/ai-medical-imagery-model-offers-fast-cost-efficient-expert-analysis/ Source: Hacker News Title: AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis Feedly Summary: Comments AI Summary and Description: Yes Summary: A new AI model named SLIViT has been developed by researchers at UCLA to analyze 3D medical images more efficiently than human specialists. It demonstrates high accuracy across various diseases…
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Hacker News: AI tool cuts unexpected deaths in hospital by 26%, Canadian study finds
Source URL: https://www.cbc.ca/news/health/ai-health-care-1.7322671 Source: Hacker News Title: AI tool cuts unexpected deaths in hospital by 26%, Canadian study finds Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation and impact of “Chartwatch,” an AI-based early warning system at St. Michael’s Hospital in Toronto. This technology has significantly reduced unexpected deaths…