Artificial Intelligence Medical Compendium

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

Showing 32,041 to 32,050 of 220,797 articles

Few shots transfer learning for universal SPECT denoising across diverse acquisition protocols.

Physics in medicine and biology
Accelerated Single Photon Emission Computed Tomography (SPECT) imaging, achieved by reducing either the number of projection angles or the acquisition time per angle, enhances clinical workflow efficiency but introduces elevated noise. Although ... read more 

Confounding factors in the generalisation of synthetic CT to diagnostic spine MRI.

Physics in medicine and biology
Generalisation of synthetic CT (sCT) generation to diagnostic MRI data in the spine faces many challenges, particularly when aiming at accurate visualisation of pathologies for orthopaedic treatment management. In this study we assessed the effect of... read more 

NEW TECHNOLOGY IN SKIN AND FACIAL ANALYSIS: Elevating the Clinical Encounter for Patients and Providers.

Facial plastic surgery : FPS
Aims and Background Aesthetic medicine has undergone remarkable growth, yet the clinical infrastructure supporting the patient encounter has not kept pace with the sophistication of the patients seeking care. Today's aesthetic patient is highly educa... read more 

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

JMIR research protocols
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults with type 2 diabetes, and advanced fibrosis is its strongest prognostic marker. However, existing noninvasive tools may underperform in diabetes care a... read more 

Low-field strength MRI (0.55T) for stereotactic and functional neurosurgery using deep learning-based reconstruction algorithm: Preliminary experiences.

AJNR. American journal of neuroradiology
BACKGROUND: There has been a trend toward exclusive use of high MRI field strength (1.5 T or above) for stereotactic neurosurgery imaging. However, low field strength (0.55 T) MRI may have advantages related to availability, cost, image distortion, a... read more 

Modeling Collective Cell Migration in a Data-Rich Age: Challenges and Opportunities for Data-Driven Modeling.

Cold Spring Harbor perspectives in biology
Mathematical modeling has a long history in the context of collective cell migration, with applications throughout development, disease, and regenerative medicine. The aim of modeling in this context is to provide a framework in which to mathematical... read more 

Bridging Trials and Real Life in Fixed-Duration BTKi-Venetoclax for CLL: A Delphi-Enhanced Synthesis Incorporating Artificial Intelligence (AI) Benchmarks.

European journal of haematology
BACKGROUND: Optimal patient selection for the most effective BTK inhibitor (BTKi) partner of venetoclax in fixed-duration (FD) BTKi-venetoclax regimens for chronic lymphocytic leukemia (CLL) remains uncertain. This uncertainty largely reflects trial ... read more 

Accuracy of deep learning for risk prediction and screening of diabetic foot Ulcers: A systematic review and meta-analysis.

Diabetes research and clinical practice
BACKGROUND: This research sought to systematically estimate the accuracy of deep learning (DL) in diagnosing diabetic foot ulcers (DFUs), thereby providing novel insights for the development and updating of artificial intelligence (AI)-assisted tools... read more 

A pipeline towards missing IS-A relationship discovery in the Gene Ontology.

Journal of biomedical informatics
As the Gene Ontology (GO) serves as a foundational resource for biological knowledge, ensuring the completeness of its semantic structure is critically important. In this study, we introduce a novel automated pipeline to identify missing IS-A relatio... read more 

AI-based classification of pediatric sagittal skeletal patterns using multi-view facial photographs.

Journal of dentistry
OBJECTIVE: The increasing global demand to assess pediatric skeletal malocclusions poses a growing challenge, as current screening methods are dependent on availability of orthodontists and X-rays, which limits accessibility. This study aimed to deve... read more