Artificial Intelligence Medical Compendium

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

Showing 56,051 to 56,060 of 226,731 articles

GDPooled transformer: glaucoma detection using pooled attention based transformer with attention mechanism.

International ophthalmology
Glaucoma is a common eye disease affecting several people worldwide. Blindness can be avoided with proper treatment and regular examination. Delayed diagnosis of eye disease causes serious damage to the optic nerve, resulting in loss of vision and bl... read more 

Scanner-integrated reconstruction versus post-processing deep learning for low-count 18F-FDG PET/CT: a comparative clinical evaluation.

EJNMMI physics
OBJECTIVES: To compare two deep learning (DL) approaches for low-count PET/CT: deep progressive reconstruction (DPR), a scanner-integrated reconstruction-level method, and a deep-learning image-domain post-processing enhancement (POST; RaDynPET). MET... read more 

A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.

Discover oncology
Hepatocellular carcinoma (HCC) represents an extremely complex and heterogeneous malignant tumor. Protein palmitoylation, a highly conserved and pivotal form of post-translational protein modification, is extensively implicated in cancer progression ... read more 

Th17-related genes PGAP1 and TMBIM1 serve as potential diagnostic and predictive biomarkers in systemic sclerosis: bioinformatic identification and murine model validation.

Clinical rheumatology
BACKGROUND: T helper 17 (Th17) cells participate in all pathological stages of systemic sclerosis (SSc). Molecular markers associated with Th17 cells hold promise as therapeutic targets for SSc. This study aims to screen and validate key genes relate... read more 

Six-axis robotic extrusion of hybrid hydrogels for biomimetic airway model fabrication.

Journal of biomaterials applications
Respiratory diseases remain a major global health burden, motivating the need for improved experimental lung models that capture both anatomical geometry and mechanical compliance. Traditional three-axis 3D printers face limitations in replicating th... read more 

Analysis of Clinical Improvement at 90 Days After Varicose Vein Surgery Using Machine Learning.

Angiology
Outcomes after intervention for chronic venous insufficiency (CVI) is difficult to predict. This study aimed to develop machine learning (ML) models to predict 90-day clinical improvement after varicose vein surgery and identify key factors. This ret... read more 

A Critical Look at the Challenges of Conducting de-Identified Military Surveys.

Military medicine
Survey research has long been a cornerstone of behavioral health and medical research. With the growth of Internet-based survey platforms, accelerated by the COVID-19 pandemic, conducting surveys completely online has become the standard. Online surv... read more 

COL14A1 drives ischemic cardiac injury in PCOS: an artificial intelligence-identified biomarker.

QJM : monthly journal of the Association of Physicians
BACKGROUND: Polycystic ovary syndrome (PCOS) and ischemic cardiomyopathy (ICM) share metabolic and cardiovascular risk factors, including insulin resistance and chronic inflammation, but the molecular links remain unclear. AIM: To identify shared dia... read more 

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial.

Lancet (London, England)
BACKGROUND: Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen reading workload, but its effect on interval cancers (primary breast cancers diagnosed between two s... read more 

Prediction of mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome: a model development and validation study.

Lancet (London, England)
BACKGROUND: Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform novel personalised treatment strategies, but no standardised tools for this purpose exist. We aimed to ... read more