AI Medical Compendium

Externally Tested AI Models for Malignancy Classification of Lung Nodules at Chest CT: A Systematic Review and Meta-Analysis.

Radiology. Artificial intelligence Jun 3, 2026

Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials and Methods A systematic search of PubMed, Embase, Web of Science, CINAHL, and the Cochrane Library... read more

Personalized Type 1 Diabetes Management: Reinforcement Learning-Based Insulin Dosing and Glucose Forecasting.

JMIR diabetes Jun 3, 2026

BACKGROUND: Optimizing insulin dosing and predicting future glucose levels for people with type 1 diabetes is challenging due to the dynamic nature of glucose metabolism. Traditional static insulin regimens fail to adapt to individual variability in ... read more

AI-Driven Heart Failure Decision Support in Skilled Nursing Facilities.

JACC. Case reports Jun 3, 2026

Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to specialists, incomplete clinical documentation, and patients with complex comorbidities. Artificial intelligence clinical decision support systems have ... read more

Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.

Journal of imaging informatics in medicine Jun 3, 2026

The objective of the study is to develop and validate a multiparametric MRI (mpMRI)-based model that integrated with habitat-based radiomics, deep transfer learning (DTL), and quantitative parameters for the preoperative prediction of extrathyroidal ... read more

GMC-Bind: A Multimodal Framework for RNA-Protein Binding Site Prediction with Bidirectional Cross-Attentional Fusion.

IEEE transactions on computational biology and bioinformatics Jun 3, 2026

Accurate identification of RNA-protein binding sites is crucial for understanding gene regulation and disease mechanisms. However, existing deep learning models still face challenges in synergistically modeling multi-scale sequence motifs and dynamic... read more

AI-Based Triage Decision Support: Multisite Economic Evaluation in the United States.

Journal of medical Internet research Jun 3, 2026

BACKGROUND: Emergency department (ED) visits have risen in the United States, with demand for emergency care exceeding supply. Resultant ED crowding harms patients, causes staff burnout, and places financial strain on hospitals, payers, and patients ... read more

Artificial intelligence tools for enzyme engineering and metabolic engineering.

Current opinion in biotechnology Jun 3, 2026

Enzyme engineering and metabolic engineering drive innovation in energy biotechnology. In recent years, artificial intelligence (AI) has supported successful applications in designing effective enzymes and productive microbial cell factories. This re... read more

Machine learning and deep learning-based drug-drug interactions prediction: a systematic review focused on anticancer drugs.

NPJ precision oncology Jun 3, 2026

Cancer patients are particularly susceptible to Drug-Drug Interactions (DDIs) due to frequent polypharmacy in oncology care. Co-administered drugs can increase toxicity or reduce effectiveness, potentially causing serious adverse events-for example, ... read more

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.

Signal transduction and targeted therapy Jun 3, 2026

The integration of multiomics technologies with artificial intelligence (AI) has become a transformative force in modern precision medicine, particularly within drug discovery. Multiomics approaches, including genome-wide association studies, transcr... read more

Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.

Neuroradiology Jun 3, 2026

OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more

Artificial Intelligence Medical Compendium