Artificial Intelligence Medical Compendium

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

Showing 49,261 to 49,270 of 224,513 articles

Improved Balanced Random Forest (iBRF): A flexible hybrid resampling-bagging framework for crash severity classification in imbalanced datasets.

Traffic injury prevention
OBJECTIVE: Class imbalance presents a notable challenge in accurately classifying severe crash outcomes, which typically constitute the minority class. Ignoring class imbalance may lead to biased or misleading interpretations. Moreover, relying on tr... read more 

Artificial Intelligence for radiation dose reduction in computed tomography: a narrative synthesis of clinical evidence from 2020 to 2025.

Journal of radiological protection : official journal of the Society for Radiological Protection
Computed tomography (CT) is essential to modern clinical practice but contributes substantially to population radiation exposure, particularly in oncology, paediatric and screening pathways. In line with the ALARP principle and IR(ME)R requirements, ... read more 

Assessing the Role of Large Language Models in Veterinary Dentistry Client Communication.

Journal of veterinary dentistry
This study evaluated the accuracy, consistency, and clinical appropriateness of responses generated by large language models (LLMs) to frequently asked questions (FAQs) in veterinary dentistry client communication. Six common FAQs were identified bas... read more 

Performance of Meta's Universal Model for Atoms across the Conformational and Configurational Space of Diverse Transition-Metal Catalysts.

The journal of physical chemistry. A
Machine Learning Interatomic Potentials (MLIPs) promise to transform computational catalysis by delivering near-density functional theory (DFT) accuracy at a fraction of the computational cost. Here, we evaluate the Universal Machine Learning Potenti... read more 

Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks.

BMJ health & care informatics
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical practice. Recent data reveal that 57% of US physicians are already using or planning to ... read more 

Efficacy and neural mechanisms of a vibrotactile-enhanced, brain-controlled soft robotic glove for upper limb rehabilitation after stroke: a multicentre randomised controlled trial protocol.

BMJ open
INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demonstrated potential in facilitating motor recovery after stroke by enabling active, intention-driven rehabilitation. Emerging evidence suggests that inc... read more 

Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review.

BMJ supportive & palliative care
BACKGROUND: Uncertainty around a patient's prognosis at the end of life remains a major barrier to timely palliative-care involvement and alignment of treatments with patient goals. Artificial intelligence (AI)-based tools have recently emerged to pr... read more 

Unraveling Scaling Relationships in Dual-Atom Catalysts with Electronic Descriptors: A Machine Learning Investigation for OER/ORR Activity.

The journal of physical chemistry letters
Dual-atom catalysts (DACs) have emerged as a new frontier in heterogeneous catalysis, offering improved stability and superior performance in key electrocatalytic reactions. However, identifying optimal multimetallic DACs combination for a multistep ... read more 

A Spatio-Temporal Diffusion Model for Cardiac Real-Time Imaging.

Magnetic resonance in medicine
PURPOSE: Real-time imaging of cardiac function is favorable due to shorter scan times and becomes necessary when arrhythmia or inability to hold breath leads to insufficient quality of electrocardiogram (ECG)-gated Cartesian cine. However, comparable... read more