Artificial Intelligence Medical Compendium

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BACKGROUND: Liquid biopsy, combined with multi-omics profiling and artificial intelligence (AI), offers a minimally invasive strategy for cancer detection, monitoring, and prognostication. Evidence in genitourinary (GU) cancers remains fragmented acr... read more 

BACKGROUND: Postoperative delirium (POD) is a prevalent complication in elderly surgical patients. It is associated with long-term cognitive impairment and increased dementia risk. However, reliable tools to predict POD are currently lacking. METHODS... read more 

Atherosclerosis (AS), a chronic inflammatory disease linked to oxidative stress and lipid imbalance, remains a major cardiovascular threat. Traditional herbs Salvia miltiorrhiza and Carthamus tinctorius exhibit multi-target anti-AS potential, yet the... read more 

Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high-risk patients and reducing health-care costs. While traditional methods struggle with the complexity of health-care data, machin... read more 

BACKGROUND: Our descriptive study focused on morphologic characteristics of hyperchromatic crowded groups (HCGs) in ThinPrep cervical cytology tests when reviewed with the artificial intelligence (AI)-assisted Hologic Genius Digital Diagnostics Syste... read more 

BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergency patients compared to veterinarians. METHODS: Retrospective observational study of canine patients that presented at a private veterinary specialist ... read more 

This study investigates how learners of Chinese as a Foreign Language (CFL) interact with generative artificial intelligence (GenAI) tools to support oral script-writing within a project-based learning (PBL) environment. Positioned at the intersectio... read more 

Advancements in generative artificial intelligence (genAI) have made it easier to impersonate someone else, allowing users to create realistic images of entirely new personas or trusted individuals. While susceptibility to message-based inauthenticit... read more 

BACKGROUND: Gait intention is typically detected using electroencephalogram (EEG) and primarily focuses on recognizing the initiation of walking. Recently, wearable sensors have been extensively used to classify different walking patterns. RESEARCH Q... read more