A foundation model for human-AI collaboration in medical literature mining.
AI in Medical Literature Mining: LEADS Model Boosts Recall to 0.81, Saves 20.8% Time! ππ€
September 25, 2025
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Discover the newest research about AI innovations in π§ LLM’s.
Large language models to develop evidence-based strategies for primary and secondary cardiovascular prevention.
AI in Cardiovascular Care: ChatGPT-4o shows 75% accuracy in prevention strategies, but readability remains challenging. πβ€οΈ
September 24, 2025
Proceedings of the Second Artificial Intelligence in Primary Immunodeficiencies (AIPI) Meeting.
AI in Primary Immunodeficiencies: Key Insights from AIPI Meeting π€π
September 21, 2025
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation.
“Exploring SynthMedic: 900 synthetic discharge summaries with 94.35% usability score! π€π”
September 19, 2025
Study Highlights Gender and Age Biases in AI for Skin Disease Diagnosis
Study reveals biases in AI skin disease diagnosis based on gender and age. Further research needed for equitable solutions. π©Ίπ
September 11, 2025
ChatGPT Enhances Patient Screening for Clinical Trials
ChatGPT aids in clinical trial patient screening, reducing time and improving enrolment efficiency. π©Ίπ
September 10, 2025
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
September 5, 2025
Effects of attractions and social attributes on peoples’ usage intention and media dependence towards chatbot: The mediating role of parasocial interaction and emotional support.
Exploring chatbot interactions: 1,553 users reveal emotional support’s impact on media dependence and usage intention. π€π¬
August 30, 2025
Proof of concept for voice based MRI scanner control using large language models in real time guided interventions.
Voice-controlled MRI scanners show 93.3% task completion in real-time interventions, enhancing efficiency and communication. π£οΈπ₯οΈ
August 29, 2025
MedScrubCrew: A Medical Multi-Agent Framework for Automating Appointment Scheduling Based on Patient-Provider Profile Resource Matching.
Revolutionizing healthcare scheduling with MedScrubCrew: AI-driven efficiency boosts patient-provider matching! π€π
August 24, 2025