Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Using Artificial Intelligence for Assessment of Velopharyngeal Competence in Children Born With Cleft Palate With or Without Cleft Lip.
AI tool assesses velopharyngeal competence in children with cleft palate. Results show limited accuracy...
Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine.
Key performance indicators (KPIs) in radiology enhance precision medicine, ensuring safety and improving diagnostic...
Artificial intelligence in reproductive endocrinology: an in-depth longitudinal analysis of ChatGPTv4’s month-by-month interpretation and adherence to clinical guidelines for diminished ovarian reserve.
AI shows promise in reproductive health. 🤖 ChatGPTv4's accuracy in Diminished Ovarian Reserve guidelines...
Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions – new opportunities for precision medicine.
Recent advancements in MDCT enhance precision in heart valve interventions. 🫀 This review highlights...
A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar.
A recent study highlights a deep learning approach using radar for sleep posture recognition....
eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
AI chatbots enhance patient care by providing personalized medical information securely. 🤖💬 Review of...
Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy.
Exploring Industry 5.0: AI, IoT, and Big Data's impact on health and technology. 🤖📊...
AI Governance: A Challenge for Public Health.
AI governance poses challenges for public health. 🏥 Balancing benefits and risks is crucial...
Decoding Missense Variants by Incorporating Phase Separation via Machine Learning.
Recent research highlights a machine learning model, PSMutPred, predicting missense variant impacts on phase...