Artificial Intelligence Medical Compendium

BACKGROUND: Breast ultrasonography (US) is cost-effective for detecting breast implant-related complications, but its reliability remains highly operator-dependent. OBJECTIVES: This study developed and validated a deep learning model for the automate... read more 

Proteolysis-targeting chimeras (PROTACs) have emerged as a transformative therapeutic strategy that extends beyond conventional occupancy-driven pharmacology by enabling the selective degradation of disease-causing proteins through the ubiquitin-prot... read more 

BACKGROUND: Patients with cancer on palliative treatment often have dynamic and multidimensional symptoms like pain, fatigue, anorexia, cognitive changes, and emotional distress that significantly impact functional capacity and quality of life. Tradi... read more 

Electrochemical CO2 reduction offers a sustainable route for converting CO2 into value-added fuels and chemicals, yet achieving efficient methane production remains challenging because of the complex reaction network and insufficient catalyst selecti... read more 

BackgroundIncreasing integration of artificial intelligence (AI) into clinical workflows necessitates assessing how future healthcare professionals adapt to these technologies.ObjectıveThis study aims to determine the artificial intelligence literacy... read more 

Osteoarthritis (OA) is a degenerative disease affecting all joints in the body, impacting over 500 million people globally and imposing a significant healthcare burden. Tris(1-chloro-2-propyl) phosphate (TCPP), one of the widely used organophosphate ... read more 

Identifying climatically suitable areas for cacao cultivation (Theobroma cacao L.) is essential to guide sustainable intensification, territorial planning, and compliance with emerging environmental standards in tropical regions. This study assessed ... read more 

This methodological study evaluated and compared the content quality and appropriateness of nursing care plans developed by nurses and artificial intelligence (AI) for addressing the psychosocial problems of patients with stomas. Two nursing care pla... read more 

Mihaela van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, at the University of Cambridge, where she leads the van der Schaar Lab, directs the Cambridge Centre for AI in Medicine, and serves a... read more 

OBJECTIVE: MRI is increasingly required to operate near electronic devices that emit dynamic electromagnetic interference (EMI). Existing reference-channel EMI removal methods estimate a transfer function between EMI sensors and imaging coils from th... read more