Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries.
AI-generated hospital summaries show 57% usage, minimal harm risk, and reduced physician burnout. ππ€
May 11, 2026
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Discover the newest research about AI innovations in π§ LLM’s.
Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.
Evaluating AI in oral cancer communication: Gemini and Grok show 90%+ referral safety but variable risks. ππ¦·
May 6, 2026
Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.
Global sentiment on health AI shows 65.26% positivity, with privacy concerns at 33.31%. ππ€π
May 6, 2026
Evaluating large language models for orthodontic consultation in patients with periodontitis: a study of reliability, quality, and readability.
Evaluating LLMs for orthodontic consultations: Grok-3 excels in reliability, while DeepSeek-V3 leads in readability. ππ¦·
May 3, 2026
Speaking Patient’s Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.
AI-enhanced consent forms improved readability from 14.1 to 8.8 grade levels, but content fidelity decreased significantly. ππ
April 30, 2026
Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation.
Hyper-RAG enhances LLM accuracy by 12.3%, reducing hallucinations in medical applications. ππ
April 28, 2026
Study Reveals Challenges in Identifying AI-Generated X-Rays
Study shows radiologists struggle to differentiate AI-generated X-rays from real ones, raising concerns for medical image integrity. π©»β οΈ
April 23, 2026
AICellType: a large language model-based platform for accurate cell type annotation.
AICellType: A breakthrough in cell type annotation with 76% accuracy using LLMs! π§¬π Explore its capabilities!
April 20, 2026
Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.
Evaluating AI in healthcare: GPT-4o achieved 100% accuracy in fact-checking, while OpenBioLLM-70B reached 95%. π€π
April 16, 2026
Cardiology-Chat: A Multi-LLMs Powered System for Cardiac Diagnostic Reasoning and Clinical Support.
Cardiology-Chat enhances cardiac diagnostics with 0.796 accuracy & 0.807 F1 score using advanced LLMs. π«π
April 15, 2026