Artificial Intelligence Medical Compendium

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

Showing 73,281 to 73,290 of 235,503 articles

Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis.

Prostate cancer and prostatic diseases
OBJECTIVE: This study aims to evaluate the diagnostic value of machine learning-based MRI imaging in differentiating benign and malignant prostate cancer and detecting clinically significant prostate cancer (csPCa, defined as Gleason score ≥7) using ... read more 

Comparative Designs Reveal Preferences for Human-Generated Rather Than AI-Generated art.

Empirical studies of the arts
The evaluation of AI-generated art has seen increased interest after widespread access to AI-generated art (e.g., DALL-E or Stable Diffusion). While previous studies have suggested that there are preferences for human-generated art, the research rema... read more 

Integrating molecular generation and fingerprints transferring for single-molecule theranostics targeting endoplasmic reticulum stress.

Journal of advanced research
INTRODUCTION: Precise diagnosis and treatment of diseases necessitate quantitative visualization and modulation of subcellular structures. The endoplasmic reticulum (ER), as one of the most essential organelles, presents a complex target due to its i... read more 

CARJ 2025: Year in Review.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Artificial intelligence (AI) and sustainability have been the subject of much research in the field of radiology throughout 2025. The future of the radiologist and our planet has been called into question. We have had to shift focus and evolve to emb... read more 

Multicenter Machine Learning-Based Prediction of Mortality in ICU Patients With Hypocalcemia.

Shock (Augusta, Ga.)
BACKGROUND: Hypocalcemia occurs frequently in intensive care units (ICUs) and is independently associated with excess mortality. Conventional severity scores-such as APACHE II and SOFA-assign fixed weights to a limited set of variables and therefore ... read more 

A Dynamic Machine Learning Model to Predict Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage.

Neurosurgery
BACKGROUND AND OBJECTIVES: The goal of this study was to develop a highly precise, dynamic machine learning model centered on daily transcranial Doppler ultrasound (TCD) data to predict angiographic vasospasm (AV) in the context of aneurysmal subarac... read more 

Pre-interventional transesophageal echocardiography as a reliable predictor of residual shunt following patent foramen ovale closure.

Clinical research in cardiology : official journal of the German Cardiac Society
BACKGROUND: Closure of a patent foramen ovale (PFO) is an effective strategy in the prevention of recurrent stroke after cryptogenic stroke. Residual shunt (RS) is a common issue following PFO closure and may affect safety and efficacy. Transesophage... read more 

Virtual patients, real conversations: ChatGPT advanced voice mode for pain communication training.

Medical teacher
What is the educational challenge? Across many healthcare disciplines, clinicians report feeling unprepared to treat and communicate effectively with patients presenting with chronic pain. In-person role-playing activities are resource-intensive, rel... read more 

AI-assisted script concordance tests: Enhancing feasibility with customized ChatGPT.

Medical teacher
WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios against expert clinician panels. Unlike traditional multiple-choice questions (MCQs), SCTs measure how e... read more 

Biomarkers associated with Hashimoto's thyroiditis induced by viral infection: An integrative bioinformatics and machine learning.

Journal of translational autoimmunity
OBJECTIVE: Hashimoto's thyroiditis (HT) is a common disease characterized by autoimmune injury of the thyroid. Its pathogenesis entails complex interactions among hereditary predisposition, immune disorders and environmental factors. In recent years,... read more