Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.
LLMs show promising alignment with therapists in MI, but long-term coherence and quality need improvement. ððĪ
March 24, 2026
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Discover the newest research about AI innovations in ð§ LLM’s.
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.
AI in ICUs: Regulatory complexity rises with functionality. A five-paradigm framework proposed for effective oversight. ðĪðĨ
March 22, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ððĶī
March 21, 2026
Insufficient reporting quality in large language model studies in the field of radiology.
Insufficient reporting in LLM studies: 27.6% specify model version, 35.8% mention access date. ðð
March 19, 2026
Investigating Placebos and Controls Used in Large Language Model-Based Chatbot Intervention Trials: Protocol for a Methodological Review.
Exploring LLM Chatbot Trials: Control Conditions Matter! ðĪð
March 18, 2026
New LLM Accurately Detects Depression in Women Through WhatsApp Voice Messages
New LLM detects depression in women via WhatsApp voice messages with over 91% accuracy. ðąð§
March 16, 2026
Use of Automation Technologies and Data Mining in Speech Recognition for Autism.
Automation in ASD Speech Recognition: Enhancing Early Detection with AI Tools ðĪð
February 3, 2026
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 ððĪ
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. ðĪð 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. ððĪ
January 27, 2026