Artificial Intelligence Medical Compendium

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

Showing 62,091 to 62,100 of 230,319 articles

Adaptive geometric-attention multi-task framework with knowledge distillation for aortic dissection detection in non-contrast CT.

Physics in medicine and biology
Aortic dissection (AD) is a life-threatening cardiovascular emergency. Non-contrast-enhanced CT (NCE-CT) could provide timely AD screening with fewer contraindications compared to contrast-enhanced CT angiography (CE-CT). However, NCE-CT examinations... read more 

Improving the efficiency of normalized metal artifact reduction via a unified forward projection.

Physics in medicine and biology
Normalized metal artifact reduction (NMAR) is a robust and widely used method for reducing metal artifacts in computed tomography (CT). However, conventional NMAR requires at least two forward projections, one for metal trace detection and the other ... read more 

Novel Artificial Intelligence Chest X-ray Diagnostics: A Quality Assessment of Their Agreement with Human Doctors in Clinical Routine.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
The rising demand for radiology services calls for innovative solutions to sustain diagnostic quality and efficiency. This study evaluated the diagnostic agreement between two commercially available artificial intelligence (AI) chest X-ray systems an... read more 

A multi-view DTI feature fusion framework for enhanced diagnosis of Alzheimer's disease.

Neuroscience
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder. Diffusion tensor imaging (DTI) is widely used to detect brain alterations for diagnosis, but most methods rely on single-scale information. Therefore, this study proposes the mul... read more 

Prediction of Pulpal Sequelae in Cracked Teeth with Reversible Pulpitis using Machine Learning Models.

Journal of endodontics
INTRODUCTION: In early stages of cracked teeth, pulpal inflammation is considered reversible. Cracked teeth with retained pulp vitality demonstrate higher survival rates whereas root canal treatment (RCT) negatively influences survival outcomes. The ... read more 

Impact of patient communication style on agentic AI-generated clinical advice in E-medicine.

The American journal of medicine
BACKGROUND: E-medicine use has surged, and health systems are exploring large language models (LLMs) for message triage. However, it is still unknown whether patient tone alone alters AI-generated clinical or administrative decisions. METHODS: We cre... read more 

DynaBench: Dynamic data for the docking benchmark.

Journal of molecular biology
Protein-protein interactions are central to numerous cellular processes, including transport, signaling, and immune response. Structural modeling of protein assemblies typically relies on AlphaFold or docking methods, which produce structural models ... read more 

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.

MedComm
The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses the potential of AI in video-assisted thoracoscopic surgery (VATS) lobectomy for lung cancer by devel... read more 

Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.

APL bioengineering
Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. Spinal cord stimulation may enhance and reinstate lower-limb movements, but it is either used in open-loop control or its control depends upon residua... read more 

Longitudinal Peripheral Blood Transcriptomics Reveal Novel Signatures During Cardiac Allograft Rejection.

Transplantation direct
BACKGROUND: Acute cellular rejection (ACR) remains a major cause of morbidity after heart transplantation despite advances in immunosuppression. Whole genome transcriptomic profiling offers a systems-based, unbiased approach to elucidate the molecula... read more