Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,271 to 1,280 of 200,346 articles

Performance comparison of a neuro-symbolic large language model system versus conventional AI models and human experts in cholangitis management.

BMC medical informatics and decision making
BACKGROUND: Large language models (LLMs) have shown promising results in medical decision support; Background: Large language models (LLMs) have demonstrated promising outcomes in medical decision support; however, their efficacy in managing complex ... read more 

Breast cancer survival prediction using machine learning and multimodal data for personalized care plan.

BMC cancer
This paper presents a time-stratified breast cancer survival analysis that incorporates tumor characteristics, disease stage, and patient features, using machine learning (ML) algorithms to support personalized care planning. Considering nonlinear re... read more 

FSSM-DDI: Fusion State Space Model for predicting drug-drug interaction using social-media and drug descriptions.

BMC biology
BACKGROUND: Predicting drug-drug interactions (DDIs) from social-media and drug descriptions is crucial for healthcare, drug regulation, and pharmaceutical research, yet remains a challenging task. Existing deep learning and Transformer-based approac... read more 

Unraveling 'F' factor: towards a genetic-clinical framework for the musculoskeletal-heart crosstalk in metabolic aging.

Cardiovascular diabetology
BACKGROUND: The rising co-occurrence of cardiometabolic diseases and musculoskeletal degeneration poses a critical challenge to healthy aging, yet the shared biological mechanisms underlying this multimorbidity remain poorly defined. This study aimed... read more 

Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection.

Molecular cancer
T-cell bispecific antibodies (TCBs), a specialized subclass of bispecific antibodies (BsAbs), are engineered to simultaneously engage T cells and tumor cells by binding two distinct antigens-or two epitopes on a single antigen-thereby redirecting cyt... read more 

Development and temporal external validation of a high-specificity XGBoost rule-in model for diabetes in middle-aged and older Korean adults.

Diabetology & metabolic syndrome
Early identification of diabetes in older adults is essential for preventing complications, yet many high‑risk individuals remain undetected in community settings. Using recent cycles of the nationally representative Korea National Health and Nutriti... read more 

Integration of Transcriptomics With Interpretable Artificial Intelligence for Identifying Molecular Signatures of Physiological Stress in Sleep Deprivation.

Journal of cellular and molecular medicine
Sleep deprivation induces systemic physiological stress accompanied by transcriptomic remodelling and immune dysregulation, yet objective molecular indicators for its assessment remain insufficient. This study integrated blood transcriptomic analysis... read more 

Predicting Bacterial Radiation Resistance Through Identifying Novel Genomic Features.

Environmental microbiology
Radiation resistance in bacteria is a critical trait with implications for biotechnology, medicine and environmental science. Deinococcus species possess unique genomic features that enable their extraordinary survival in extreme environments. Howeve... read more 

Assessing Delay Patterns in Diagnosis and Care Among Breast Cancer Patients in Ethiopia.

Cancer reports (Hoboken, N.J.)
BACKGROUND: In Ethiopia, breast cancer patients often present with advanced-stage disease, leading to high mortality. This study aimed to quantify diagnostic and treatment intervals and identify their association with stage at presentation. AIM: The ... read more 

Deep learning for automatic segmentation of the inferior alveolar nerve using a hybrid CNN-transformer framework.

Scientific reports
Accurate identification of the inferior alveolar nerve (IAN) is essential for preventing nerve injury during dental and maxillofacial procedures such as tooth extraction, implant placement, and orthognathic surgery. However, manual annotation of the ... read more