Artificial Intelligence Medical Compendium

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster in patients with lung cancer following chemotherapy, which significantly impacts their quality of life. This study aims to develop and validate a mach... read more 

BACKGROUND: Integrating neuroimaging genetics data may enhance the diagnosis and understanding of adults with attention-deficit/hyperactivity disorder (ADHD). Here, we employed a population-based graph convolutional network (GCN) model based on multi... read more 

Reliable prediction of active pharmaceutical ingredient (API) solubility in complex solvent systems remains challenging. Existing models often sacrifice generalizability for accuracy or have limited applicability due to implementation complexity. The... read more 

Up to 70% of patients with autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, psoriatic arthritis, and systemic lupus erythematosus, report moderate to severe pain despite controlled inflammation, driving interest in self-managemen... read more 

BACKGROUND: Predicting prolonged intensive care unit (ICU) length of stay (LOS) remains challenging, and traditional statistical models often fail to capture a patient's complexities. Recent artificial intelligence (AI) tools, such as supervised mach... read more 

BACKGROUND: Existing atrial fibrillation (AF) risk prediction models incorporate race as a covariate, systematically underestimating AF risk in black individuals and potentially perpetuating health care disparities. OBJECTIVE: This study aimed to dev... read more 

PM2.5 pollution, driven by various human activities, has become a significant global threat to both environmental and public health, yet accurately predicting its health burden remains challenging due to the complex interplay of multiple influencing ... read more 

BACKGROUND: While medication for opioid use disorder (MOUD) is effective for a significant proportion of patients, many return to using opioids during treatment. Understanding which factors lead to successful treatment informs the development of impl... read more 

Developmental dyslexia is a heterogeneous disorder classically divided into distinct subtypes. Elena Boder's, 1973 model conceptualised reading and spelling as functions of distributed, interactive neural networks that require a dynamic interplay bet... read more 

Alterations in the gut microbiome have been found to be associated with both inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS), suggesting that interaction with the microbiota might drive pathogenesis. Identifying microbial profiles... read more