Artificial Intelligence Medical Compendium

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

Showing 23,441 to 23,450 of 217,176 articles

FedDriftGuard adaptive federated learning with differential privacy for concept drift in edge environments.

Scientific reports
Federated learning (FL) has become a highly promising paradigm for privacy-preserving distributed model training by enabling edge devices to train without sharing raw data. But in practice, edge environments are both non-stationary and asymmetric, wi... read more 

Cerebral blood flow alterations and machine learning classification in chronic low back pain using multi-PLD ASL radiomics.

Scientific reports
Chronic low back pain (CLBP) is a prevalent condition with unclear pathophysiology and substantial socioeconomic burden. Cerebral blood flow (CBF) alterations have been implicated in CLBP, yet previous arterial spin labeling (ASL) studies using singl... read more 

A prognostic model based on nucleotide metabolism genes in osteosarcoma.

Discover oncology
Osteosarcoma typically arises during adolescence, posing a significant challenge. Despite comprehensive treatment strategies encompassing surgery, radiation therapy, and chemotherapy, which can notably enhance long-term survival rates among osteosarc... read more 

Medicinal Plants and the Gastrointestinal Microbiota in Chronic Diseases Modulation: A Structured Mechanistic and Translational Review.

Current microbiology
The gut microbiome supports digestion, immunity, and metabolism; its imbalance (dysbiosis) drives inflammation and metabolic dysfunction, contributing to chronic diseases such as diabetes, cardiovascular disease, inflammatory bowel disease, and autoi... read more 

Predictive analysis of health-related quality of life trajectories in older patients with chronic pain based on explainable machine learning models.

Health and quality of life outcomes
BACKGROUND: Health-related quality of life (HRQoL) is a vital indicator of evaluating care outcomes and prognosis, yet little is understood about its developmental trajectories in older patients with chronic pain. This study aimed to identify latent ... read more 

Artificial intelligence on chest X-ray for tuberculosis screening in Tanzania: a multicentre evaluation.

BMC infectious diseases
Tanzania has adopted artificial intelligence (AI)-assisted chest X-ray screening for tuberculosis (TB), including the use of CAD4TB version 6, which is registered by the Tanzania Medicines and Medical Devices Authority (TMDA). While GeneXpert, practi... read more 

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BMC geriatrics
BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk stratification remains limited because commonly used GI-bleeding scores are not tailored to orthoped... read more 

Adaptmol: domain adaptation for molecular image recognition with limited supervision.

Journal of cheminformatics
Optical Chemical Structure Recognition (OCSR) aims to convert two-dimensional molecular images into machine-readable formats such as SMILES strings. Deep learning has substantially improved OCSR performance, yet most methods rely on synthetic trainin... read more 

Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review.

Computers in biology and medicine
Accurately calculating the Ki-67 index, a critical biomarker for cellular proliferation, is pivotal in breast cancer (BC) treatment personalization. Variability in manual assessments of this index can lead to inconsistent clinical decisions, undersco... read more 

Machine learning-based cardiovascular risk prediction in systemic lupus erythematosus: development and internal validation of a prognostic model.

Journal of autoimmunity
BACKGROUND: Cardiovascular (CV) diseases are the leading cause of mortality in patients with systemic lupus erythematosus (SLE). While traditional risk factors inadequately assess CV risk, SLE-specific determinants remain elusive. We have conducted a... read more