Use of Automation Technologies and Data Mining in Speech Recognition for Autism.
Automation in ASD Speech Recognition: Enhancing Early Detection with AI Tools π€π
February 3, 2026
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Discover the newest research about AI innovations in π§ LLM’s.
Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.
Exploring AI’s Role in Medical Simulation Debriefings: Insights from 41 Participants and 26 Reports ππ€
January 31, 2026
Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.
Exploring AI’s role in radiology: synergy, risks, and responsible integration. π€π Key insights from Kocak & Cuocolo’s review.
January 27, 2026
An Artificial Intelligence-Driven Platform for Practice Question Generation.
AI-generated USMLE practice questions show 87% accuracy, enhancing medical education access for underrepresented students. ππ€
January 27, 2026
Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.
AI scribes enhance psychiatric documentation but reduce intervention likelihood in primary care. Key findings from JAMA Psychiatry study. ππ§
January 22, 2026
Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.
AI tools analyze 4,592 Reddit posts on pre-cervical cancer, revealing patient concerns and community support. ππ¬
January 18, 2026
Leading large language models on a periodontology knowledge test.
Large language models show 65% accuracy in periodontology tests, lacking reliability for clinical decision support. ππ¦·
January 17, 2026
Large Language Model-Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review.
Exploring LLMs in Medical Education: 39 studies reveal strong performance but limited multimorbidity representation. ππ€
January 4, 2026
Uncovering bias and variability in how large language models attribute cardiovascular risk.
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ
December 28, 2025
Evaluating Retrieval-Augmented Generation-Large Language Models for Infective Endocarditis Prophylaxis: Clinical Accuracy and Efficiency.
Evaluating RAG-LLMs for infective endocarditis prophylaxis shows accuracy up to 90% with preprompting. ππ¦·
December 27, 2025