Mapping the use of artificial intelligence in medical education: a scoping review.
AI in medical education: 34 studies reveal gaps in curriculum, ethical training, and digital competence. 📚🤖
Supporting Speech-Language Pathologists in Schools With Interdisciplinary Team Science: A Viewpoint From the National Artificial Intelligence Institute for Exceptional Education.
Interdisciplinary teamwork enhances speech-language pathology, addressing children's needs with AI technologies. 🤝📊 #TeamScience #CSD
Peninsula Pathology Network Adopts Secure Cloud Infrastructure
Peninsula Pathology Network implements secure cloud infrastructure for enhanced collaboration and efficiency in pathology services. 🌐🔬
Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma.
Recent research highlights the role of multi-omics and machine learning in improving hepatocellular carcinoma outcomes. 📊🔬
Cedars-Sinai’s Chief AI Officer Discusses AI’s Role in Healthcare
Cedars-Sinai's Chief AI Officer, Mouneer Odeh, discusses AI's growing impact on healthcare and improving caregiver experiences. 🤖🏥
Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing.
Remdesivir shows promise in reducing mortality for hospitalized COVID-19 patients. 🏥📉 Real-world data supports its effectiveness.
Study Highlights Underrepresentation of Minorities in AI Mammogram Analysis
Study reveals minority underrepresentation in AI mammogram analysis, raising concerns about fairness and accuracy in breast cancer detection. 📊🤔
Development of an explainable prediction model for portal vein system thrombosis post-splenectomy in patients with cirrhosis.
A recent PubMed article discusses a machine learning model predicting portal vein system thrombosis post-splenectomy in cirrhosis patients. 📊🩺
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models.
Exploring AI's role in malaria diagnosis 🦠🤖: Ensemble models enhance accuracy and transparency for better patient outcomes.
Accountability in AI-Driven Medical Errors
AI in healthcare raises concerns about accountability for medical errors. Physicians face pressure to trust technology without adequate support. ⚖️🤖