AI Medical Compendium

Artificial intelligence models in cerebral infarction: performance and applications in diagnosis, classification, grading, treatment, and disease course prediction-a systematic review.

BMC medical informatics and decision making May 13, 2026

Artificial intelligence (AI) holds significant promise for transforming cerebral infarction care, yet its real-world performance across the entire disease management continuum remains inadequately synthesized, with heterogeneous evidence and unclear ... read more

Development and internal validation of a machine learning-based model for predicting postoperative complications after primary liver cancer resection.

BMC surgery May 13, 2026

OBJECTIVE: To identify risk factors for postoperative major complications after resection of primary liver cancer and to develop machine learning-based risk prediction models. We compared the predictive performance of multiple machine learning algori... read more

Predicting anemia treatment outcomes in maintenance hemodialysis patients using multiple machine learning models.

BMC medical informatics and decision making May 13, 2026

BACKGROUND: Based on machine learning prediction models, we explored the anemia treatment attainment of patients on maintenance hemodialysis (MHD) and identified important factors for personalized treatment of patients. METHODS: We collected clinical... read more

Convolutional neural network analysis of cervical CT images: classification of Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis.

Biomedical engineering online May 13, 2026

BACKGROUND: Kikuchi disease, lymphoma, lymphadenitis, and tuberculosis are common diseases affecting the head and neck. The causes and treatment methods differ; however, the initial symptoms of these diseases (fever, pain, and neck swelling) are gene... read more

The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.

BMC medical education May 13, 2026

BACKGROUND: Artificial intelligence tools are widely used by Chinese medical students, yet systematic evidence on usage patterns, critical literacy gaps, and influencing factors remains limited, particularly from large-scale multi-institution studies... read more

Bridging predictive reliability and explainability: a multi-representation deep learning framework for chemical space analysis of immune bioassays.

Journal of cheminformatics May 13, 2026

Convergence of chemical and biological space into a unified decision space requires coordinated interactions across the triad- molecular representations, learning algorithms, and explainability. This study establishes a benchmarking framework for Vir... read more

Tetrahedral framework nucleic acids as a promising vehicle for small molecule drugs of traditional Chinese medicine: application to disease prevention and treatment.

Journal of nanobiotechnology May 13, 2026

The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stability, and limited oral bioavailability of its active components. These limitations hinder the transla... read more

Knowledge, attitudes, and practices toward artificial intelligence in medicine among iranian physicians and medical students: a cross-sectional survey.

BMC research notes May 13, 2026

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare worldwide, yet the readiness of physicians and medical students to adopt AI-particularly in low- and middle-income settings-remains insufficiently understood. Examining knowl... read more

Prediction of postoperative desaturation and bradycardia in neonates undergoing laparoscopic inguinal hernia repair: a retrospective cohort study.

Anesthesia and pain medicine May 13, 2026

BACKGROUND: Ex-premature infants have a high risk of postoperative apnea and bradycardia. This study aimed to develop a predictive model for postoperative desaturation and bradycardia in infants who underwent laparoscopic inguinal hernia repair (IHR)... read more

Development and Validation of an AI-Integrated System for Automated Fracture Detection and Pedicle Puncture Planning in Lumbar Osteoporotic Vertebral Compression Fractures Based on the Nine-Grid Area Division Method.

Orthopaedic surgery May 13, 2026

OBJECTIVE: The clinical application of the Nine-grid Area Division Method for pedicle puncture in L-OVCF is limited by high technical thresholds and low efficiency. This study aimed to develop an AI-integrated automated system for L-OVCF diagnosis an... read more

Artificial Intelligence Medical Compendium