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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.
![[Artificial intelligence in aortic dilatation diseases: current applications and future prospects].](https://yesilscience.com/wp-content/uploads/2025/11/Artificial-intelligence-in-aortic-dilatation-diseases-current-applications-and-future-prospects.jpg)
[Artificial intelligence in aortic dilatation diseases: current applications and future prospects].
AI enhances aortic disease management: improved diagnosis, treatment precision, and monitoring. Challenges remain in...
AI Outperforms Humans in Identifying Intestinal Parasites in Stool Samples
AI surpasses human accuracy in detecting intestinal parasites in stool samples, enhancing diagnostic capabilities...
Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images.
AI model predicts Down syndrome from first-trimester ultrasounds with 98.3% accuracy! 🤖📊 Key features:...
Chain-of-Thought reasoning versus linguistic optimization for artificial intelligence models on the prosthodontics section of a dental licensing examination.
AI models in dental exams: CoT reasoning outperforms others, achieving 80.54% accuracy vs. human...
Personalized Approaches to Cancer Vaccines Using AI
AI aids in developing personalized cancer vaccines by identifying neoantigens, enhancing immune response against...
Deep learning-assisted aortic stenosis detection and grading based on multiview versus single-view echocardiography.
Deep learning enhances aortic stenosis detection: AUC 0.942, severe AS AUC 0.976. Promising for...
Biomedical philanthropy promises dramatic expansion and AI focus.
Biomedical philanthropy expands with AI focus, as Chan Zuckerberg Initiative prioritizes science for impactful...
Weekly Health & AI Digest – November 10, 2025
Here are the latest breakthroughs in health & AI (November 10, 2025 week) 🔹...
Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings.
Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection on low-cost hardware. 🩺👁️