AI Medical Compendium

Comparison of the diagnostic accuracy of dentists and ChatGPT in jawbone lesions.

BMC oral health May 18, 2026

BACKGROUND/OBJECTIVES: Artificial intelligence (AI) is leading to a significant paradigm shift in medical imaging and diagnostic sciences. In particular, Chat Generative Pre-trained Transformer (ChatGPT) is finding increasing application in diagnosti... read more

Multi-source data integration through pooling and transfer learning improves generalizability and specialization of deep learning models for ICU mortality and length of stay prediction: a four-database external validation study.

Critical care (London, England) May 18, 2026

BACKGROUND: Most Artificial Intelligence prognostic models in intensive care are trained and validated on a single source, limiting their reliability in external settings. This study evaluated generalizability and specialization for ICU mortality and... read more

Artificial intelligence-assisted integrated care to promote colonoscopy uptake (AICC) in China: study protocol for a cluster randomized controlled trial.

Trials May 18, 2026

BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to reduce both CRC incidence and mortality. However, uptake of colonoscopy among high-risk individuals... read more

Evaluating expert opinions on using a virtual patient app based on artificial intelligence for teaching brief smoking cessation advice to medical students: a cross-sectional study.

BMC medical education May 18, 2026

BACKGROUND: Smoking is one of the main preventable causes of premature disease and death. Anti-smoking counseling continues to be a challenge to cover the educational gap in this topic. Artificial intelligence and virtual-patient technologies are a p... read more

Machine learning approaches in identifying factors associated with hypertension and undiagnosed hypertension in adults in rural areas of Bangladesh.

Archives of public health = Archives belges de sante publique May 18, 2026

BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particularly dangerous as they can cause severe damage without timely treatment. The aim of the study was to identify risk factors for hypertension and undia... read more

Revisiting ADMET prediction reliability under real-world challenges in the foundation model era.

Journal of cheminformatics May 18, 2026

As AI-driven drug discovery fully enters the era of foundation models, druggability prediction is undergoing a profound transformation from being experience-driven to "data-driven." While numerous molecular foundation models with diverse representati... read more

Artificial intelligence integrated multi-omics and multimodal studies promote the efficacy of neoadjuvant chemotherapy in breast cancer: opportunities, challenges, and future perspectives.

Breast cancer research : BCR May 18, 2026

BACKGROUND: Neoadjuvant chemotherapy (NAC) is a critical therapeutic strategy for locally advanced breast cancer; however, its clinical utility is constrained by tumor heterogeneity and a lack of reliable predictive biomarkers. Integrating single-omi... read more

CT-based 3D planning-supported stem-free screw-cement augmentation versus 2D radiograph-planned short-stem reconstruction for AORI type I-II medial tibial defects in TKA: a two-year retrospective study.

Journal of orthopaedic surgery and research May 18, 2026

BACKGROUND: Medial tibial defects in varus knee osteoarthritis (KOA) challenge alignment and tibial support in primary total knee arthroplasty (TKA). A stem-free metaphyseal screw-cement strategy supported by computed tomography (CT)-based three-dime... read more

Application of artificial intelligence-assisted education for postoperative pulmonary rehabilitation: a hybrid model of AI and nurse-driven support.

Journal of cardiothoracic surgery May 18, 2026

OBJECTIVE: To explore the clinical value of AI-assisted pulmonary rehabilitation education in patients undergoing thoracoscopic surgery for lung cancer. METHODS: This was a non-randomized, two-period comparative study comparing AI-assisted education ... read more

Predicting metabolic syndrome in Iranian adults using artificial neural networks: a comparative analysis with logistic regression based on demographic, lifestyle, and clinical indicators.

BMC research notes May 18, 2026

OBJECTIVE: Metabolic syndrome (MetS) is a major risk factor for cardiovascular diseases and type 2 diabetes, imposing a substantial economic and public health burden on Iran's healthcare system. This study aimed to classify the risk of MetS in Irania... read more

Artificial Intelligence Medical Compendium