
Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): A Systematic Review.
AI-SaMD: Key Findings & Challenges in Medical Applications 🤖📊
Discover the newest research about AI innovations in 👁️ Ophthalmology.
AI-SaMD: Key Findings & Challenges in Medical Applications 🤖📊
Large language models show promise in educating Chinese patients with ocular myasthenia gravis. 📚🤖 Accuracy and readability are key factors.
AI shows promise in enhancing epiretinal membrane care through improved detection and prognostication. 🧠👁️ Read our review of the study.
A recent PubMed article explores how a surgical support robot reduces hand tremors during internal limiting membrane peeling. 🤖✋
A recent study explores using a convolutional neural network to predict diabetic macular edema treatment responses. 🤖👁️
New methods for early Alzheimer’s detection using retinal imaging show promise. 🧠👁️ Review of ReIU framework highlights significant accuracy.
Automated documentation in ophthalmology enhances doctor-patient communication. 🤖👁️ Study shows potential for improved efficiency and care.
AI shows promise in predicting HPV status for oropharyngeal cancer. Further research is essential. 📊🦠
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
AI tools like ChatGPT-3.5 and Google Bard provide varying accuracy and readability for glaucoma treatment information. 📊👁️