Discover the newest research about AI innovations in ⚖️ AI Ethics.
Data science in public health: 112 projects, 54% visualization, 42% AI/ML growth from 33% to 56% (2019-2023). 📊💻
AI revolutionizes postural management: precise detection, real-time feedback, and personalized interventions. Challenges remain in clinical validation and usability. 🤖📏
Exploring implicit bias in digital health: LLMs reflect public health attitudes, impacting health equity. 📊🌍
Digital twins in healthcare: real-time patient replicas enhance early disease detection and personalized care. 📊🤖
AI Scribes in Healthcare: Balancing Benefits and Usability Challenges 🤖📋
New tool predicts low-risk betalactam allergies with 93% specificity! 🤖📊 Study on 6468 patients shows promise for delabeling.
AI and robotics in medicine: Transforming practices with ethical challenges. Key principles: transparency, shared responsibility, legitimacy. 🤖⚕️
Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖
New CEO for Health Data Research Service appointed. Dr. Melanie Ivarsson aims to streamline medical research data access. 📊👩⚕️
Government acknowledges risks in NHS digital reforms, highlighting cost, complexity, and data security concerns. 📊🔒
