AI Tool Analyzes Social Media to Identify Health Risks
AI tool "Waldo" analyzes social media for health risks, achieving 99.7% accuracy in identifying adverse events. 📊💡
![[ANMCO Position paper: ANMCO States General 2024 – Role of cardiologists in the management of chronic cardiovascular diseases].](https://yesilscience.com/wp-content/uploads/2025/10/ANMCO-Position-paper-ANMCO-States-General-2024-Role-of-cardiologists-in-the-management-of-chronic-cardiovascular-diseases.jpg)
[ANMCO Position paper: ANMCO States General 2024 – Role of cardiologists in the management of chronic cardiovascular diseases].
Cardiologists crucial for chronic cardiovascular care: gaps, digital tools, and integrated pathways highlighted in ANMCO 2024 paper. 📊❤️
Tracing the evolution in sleep apnea detection: a review from traditional non-contact under-the-mattress devices to advanced AI-driven methods.
Revolutionary sleep apnea detection: From traditional PSG to advanced AI-driven under-the-mattress devices. 🛏️💤
Weekly Health & AI Digest – October 27, 2025
Here are the latest breakthroughs in health & AI (October 27, 2025 week) 🔹 Accurate semi-supervised automatic speech recognition for ordinary and characterized speeches via multi-hypotheses-based curriculum learning. Innovative ASR models enhance transcription accuracy for ordinary and characterized speech using...
Accurate semi-supervised automatic speech recognition for ordinary and characterized speeches via multi-hypotheses-based curriculum learning.
Innovative ASR models enhance transcription accuracy for ordinary and characterized speech using multi-hypotheses curriculum learning. 📊🗣️
Human vs. artificial intelligence: Physicians outperform ChatGPT in real-world pharmacotherapy counselling.
Physicians 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.
Predicting 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?
Fluorescent acid-fast stains enhance mycobacterial detection, improving sensitivity and expanding diagnostic applications. 📊🔬
Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines.
AI 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.
2024 SRB Meeting: Key Advances in Reproductive Biology 🌍🔬, Climate Impact, AI Ethics, and Inclusion in Science.