Artificial Intelligence Medical Compendium

Currently, most existing datasets predominantly focus on object classification based on appearance, while datasets specifically designed for trajectory classification of low-altitude flying micro-targets (11pt × 11pt or smaller) remain scarce. There ... read more 

Against the backdrop of simultaneous national agendas for green transition and healthy ageing, the nutritional behaviour of older adults is being reshaped by emerging forms of institutional governance. Drawing on four waves of the Chinese Longitudina... read more 

INTRODUCTION: Artificial Intelligence (AI) tools may deliver significant improvements in healthcare and Learning Health Systems are well positioned to benefit. However, during the adoption of AI, Learning Health Systems should consider the potential ... read more 

Early detection of uterine diseases is critically important for women's reproductive health. Here, we propose a novel and robust serum-based SERS analysis platform that integrates machine learning algorithms. This is the first application of it in th... read more 

This narrative, perspective-style review proposes a structured framework for how artificial intelligence (AI) may reshape key steps of the echocardiography workflow. We argue that AI's main contribution is not only to automate existing tasks but to e... read more 

OBJECTIVE: This study aimed to develop an automated system for skeletal maturity staging using deep learning (DL) models of hand-wrist radiographs based on Fishman's method. METHODS: In total, 2,318 hand-wrist radiographs of patients aged 8-19 years ... read more 

The growth of the digital age has corresponded with decreased operative experience and concern for low readiness for practice among surgical trainees, allowing for rapidly advancing technology to attempt to fill this educational need, often through i... read more 

BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. Artificial intelligence (AI) can enable real-time monitoring, assist decision-making, increase safet... read more 

Accurately predicting recombinant protein expression in Escherichia coli remains a long-standing challenge due to the multifactorial nature of gene regulation and translation. Existing computational approaches typically emphasize either codon usage o... read more 

The orbitofrontal cortex (OFC) is a hub for value-guided decision-making, linked reciprocally with both cortical and subcortical regions. While projections from sensory areas to the OFC - and vice versa - are known to support goal-directed learning, ... read more