Study Reveals Bias in AI Treatment Recommendations in Healthcare
AI in healthcare may show bias in treatment recommendations based on patient demographics, raising concerns for equitable care. ⚖️🩺
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis.
Evaluating machine learning in oncology: 89% low bias, but reporting gaps persist. 📊🔍
EMC Healthcare Upgrades to AI-Driven EMR System
EMC Healthcare in Indonesia is upgrading to an AI-driven EMR system, enhancing patient care and clinical efficiency. 🏥🤖
The role of artificial intelligence in the prediction, identification, diagnosis and treatment of perinatal depression and anxiety among women in LMICs: a systematic review protocol.
AI's Impact on Perinatal Depression in LMICs: A Systematic Review 📊🤰
Atropos Health Partners with Ontada to Enhance Oncology Data Utilization
Atropos Health partners with Ontada to enhance oncology data use, improving patient care and treatment protocols. 📊💉
Evaluating Large Language Models on Aerospace Medicine Principles.
Evaluating LLMs in Aerospace Medicine: ChatGPT-4 scored 70% accuracy, RAG LLM 85%. Potential risks identified. 🚀📊
Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.
AI-driven MSI profiling in lung cancer shows 0.52% prevalence, high TMB, and potential for personalized immunotherapy. 📊🔬
National Support Needed for AI Initiatives in Healthcare
National support is essential for scaling AI in healthcare. The NHS AI Lab's evaluation highlights progress and ongoing challenges. 🤖🏥
Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.
Machine learning predicts Newcastle Disease Virus antigenic distance with 72.3% accuracy, enhancing vaccine selection efficiency. 🤖💉
New AI Tool Assesses Treatment Efficacy for Multiple Sclerosis
New AI tool, MindGlide, assesses treatment effectiveness for multiple sclerosis using MRI scans. Promising advancements in patient care. 🧠💡