
Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy.
Machine learning enhances SAPHO syndrome vs. secondary bone tumors diagnosis via WBBS: AUC 0.957, accuracy 88.3%. ππ
Discover the newest research about AI innovations in Research.

Machine learning enhances SAPHO syndrome vs. secondary bone tumors diagnosis via WBBS: AUC 0.957, accuracy 88.3%. ππ

NHS England’s abolition raises concerns about health technology’s future. Reorganization and cuts may disrupt IT programs and services. β οΈπ»

Exploring Human-Centered AI: 14 studies reveal design principles and health applications. π€π‘

Privia Health improves provider workflows using AI technology, addressing challenges like burnout and data management. π€πΌ

“AI vs. Physicians: 85.4% Accuracy in Lung Cancer Detection with 1.3mm Iriscope Probe ππ©Ί”

National Heart Centre Singapore introduces AI tool for rapid coronary artery disease assessment. π«π€ Improved diagnosis in just 10 minutes! β±οΈ

Evaluating machine learning in outpatient care: 2.28% alert rate, 56.55% acceptance. Key findings on diagnostic recommendations. ππ

National Taiwan University Hospital introduces AI for pancreatic cancer imaging, enhancing early detection and diagnostic accuracy. π₯π»

Novel Chemotherapy Benefit Index for Advanced Ovarian Cancer: Key Genes, Survival Rates, and Immunotherapy Insights ππ

Generative AI is enhancing drug development efficiency. The DiffSMol model shows a 61.4% success rate in creating promising drug candidates. πβ¨