
Foreign body removal.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. π©Ίπ
Discover the newest research about AI innovations in π€ Machine Learning.

Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. π©Ίπ

Non-invasive renal fibrosis assessment: AI, biomarkers, and imaging techniques show promise for CKD diagnosis. ππ©Ί

Emerging strategies for diagnosing and managing MASLD: noninvasive methods, novel therapies, and personalized approaches. π©Ίπ

Machine learning predicts negative self-rated oral health in adults with 16.6% prevalence. Key predictors include socioeconomic status and anxiety. ππ¦·

AI Enhances Cardiovascular Risk Assessment via Visceral Fat Imaging ππ€

Machine learning predicts mild cognitive impairment stages with 94% accuracy using gait, body composition, and sleep data. π§ π

Machine learning predicts difficult-to-treat rheumatoid arthritis with 0.606-0.747 accuracy. Key features include DAS28-ESR and HAQ. ππ€

Revolutionary swallowing analysis framework achieves 92% accuracy using HRCA signals! π€π§ Key for speech-language pathologists!

Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. ππ

Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. ππ©Ί