Discover the newest research about AI innovations in ๐ฆ Epidemiology.
Machine learning predicts negative self-rated oral health in adults with 16.6% prevalence. Key predictors include socioeconomic status and anxiety. ๐๐ฆท
Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key findings from our review. ๐๐ค
Machine learning fibrosis score for pediatric MASLD shows promise (AUROC 0.92) but requires caution and further validation. ๐๐ฉบ
AI-designed multiepitope DNA vaccine shows promise against H5N1 clade 2.3.4.4b in chickens. ๐ฆ ๐
Machine learning predicts cancer patient mortality dynamics, revealing three clinical patterns and key lab parameters. ๐๐ก
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ
Exploring poliomyelitis dynamics through fractional-order models and deep neural networks reveals critical insights into disease transmission. ๐๐ฆ
AI detects one-third of interval breast cancers missed during screening, potentially improving outcomes for patients. ๐๐ก
UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. ๐ค๐ป
AI detects fatty liver disease using chest X-rays, offering a cost-effective and accessible diagnostic method. ๐ฉป๐ก
