Human vs. artificial intelligence: Physicians outperform ChatGPT in real-world pharmacotherapy counselling.
October 26, 2025Physicians excel over ChatGPT in pharmacotherapy advice, highlighting AI's limitations in clinical accuracy. 📊💊
Uncovering predictors of bipolar II conversion to bipolar I: A machine learning analysis of national health records in Taiwan.
October 26, 2025Predicting bipolar II to I conversion: 14% risk identified using machine learning with 86% accuracy. 📊🧠
Fluorescent acid-fast stains for diagnosing mycobacteria and beyond: back to the future?
October 26, 2025Fluorescent acid-fast stains enhance mycobacterial detection, improving sensitivity and expanding diagnostic applications. 📊🔬
Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines.
October 25, 2025AI in Speech-Language Pathology: Enhancing Diagnosis & Treatment, Yet Facing Ethical Challenges 🤖📊
Comparative reproductive biology, advances in reproductive health, and cultivating inclusion in the scientific community: highlights from the 2024 Annual Meeting of the Society for Reproductive Biology.
October 25, 20252024 SRB Meeting: Key Advances in Reproductive Biology 🌍🔬, Climate Impact, AI Ethics, and Inclusion in Science.
Artificial intelligence-based approaches for advance care planning: a scoping review.
October 24, 2025AI enhances advance care planning, identifying patients and aiding decisions. Key findings: 41 studies, 39 on patient identification. 📊🤖
Exploring Parental Experiences of Childhood Ear Health Clinics and Their Acceptability of AI-Based Diagnostic Tools: A Qualitative Study.
October 24, 2025Parental insights on AI in childhood ear health reveal concerns and potential benefits. Key themes identified in recent study. 👂🤖
Integrated antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy.
October 24, 2025Revolutionary AI model enhances IgG screening for antiviral therapy, targeting SARS-CoV-2 variants with 1300+ sequences analyzed. 🦠💉
Performance of Automatic Speech Analysis in Detecting Depression: Systematic Review and Meta-Analysis.
October 23, 2025Automatic Speech Analysis shows 81% accuracy in detecting depression, highlighting its potential as a complementary diagnostic tool. 📊🗣️