Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 206,272 articles

Machine learning-based cross-sectional exploration of depression-chronic pain associations in chronic respiratory disease patients.

BMC geriatrics Jun 30, 2026
BACKGROUND: Chronic respiratory diseases (CRD) are a leading global cause of death, with high comorbidity rates of depression and chronic pain forming a bidirectional relationship that is associated with worse prognosis. Existing research lacks syste... read more 

Mapping the intellectual landscape of malaria drug repurposing: a systematic analysis of the 51 most cited studies.

Malaria journal Jun 29, 2026
BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug repurposing offers a promising pathway to bypass the extensive time and cost of de novo discovery. ME... read more 

Enhancing the preoperative differentiation of ameloblastoma and odontogenic keratocyst using pathomics-guided radiomics: a pilot study.

BMC oral health Jun 29, 2026
BACKGROUND: The cross-modal correlations between radiomics and pathomics, as well as their clinical translational applications in oral tumors and cysts, remain unclear. Here, we proposed a novel radiomic feature selection strategy guided by radio-pat... read more 

Postoperative cerebral infarction after major thoracic and abdominopelvic surgery: a retrospective single-centre cohort study of incidence, risk factors, and outcomes.

BMC anesthesiology Jun 30, 2026
BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complication of major non-cardiac surgery and is associated with higher in-hospital mortality, intensive care unit (ICU) admission, and subsequent mortality. Th... read more 

Exploring the operational challenges of navigating ethical oversight in the era of artificial intelligence: a qualitative study of health research ethics committees in Tanzania.

BMC medical ethics Jun 30, 2026
BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapid integration of artificial intelligence (AI) into health research introduces novel ethical and oper... read more 

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Brain imaging and behavior Jun 30, 2026
Identifying biomarkers for serious mental illnesses (SMI) has significant implications for early intervention and prevention. The current study uses machine learning to build a model of risk prediction and transition based on multi-modal neuroimaging... read more 

A two-stage SEM-ANN analysis of digital attitude, cognitive engagement, and digital self-efficacy as determinants of learning effectiveness in the AI era.

Scientific reports Jun 30, 2026
Although the rapid advancement of Artificial Intelligence (AI) has a great impact on education, students' learning effectiveness is still the ultimate goal of learners as well as educators. In this research, we aim to investigate the impact of the co... read more 

Invisible poison attacks and holistic defence strategy for pyramid vision transformers in medical imaging.

Scientific reports Jun 30, 2026
Machine learning models, especially vision transformers in the domain of medical images, are highly prone to data poisoning attacks, in which a small proportion of adversarial samples is injected into the model's training dataset to manipulate its be... read more 

FedFound: a federated foundation model for lifespan brain morphological connectome analysis.

NPJ digital medicine Jun 30, 2026
The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representation for characterizing individual variability and detecting abnormalities across the lifespan. However... read more 

Prediction modeling in transdiagnostic risk: results from the PROCAN study.

Brain imaging and behavior Jun 30, 2026
Identifying biomarkers for serious mental illnesses (SMI) has significant implications for early intervention and prevention. The current study uses machine learning to build a model of risk prediction and transition based on multi-modal neuroimaging... read more 
Popular Topics
Recent Journals