Artificial Intelligence Medical Compendium

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

Showing 13,741 to 13,750 of 211,462 articles

ASO Special Article: Proceedings of the Inaugural Joint US-India Cancer Dialogue: Accelerating Collaboration to Advance Cancer Prevention, Early Detection, Treatment, and Care.

Annals of surgical oncology
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June 2023, the two governments announced several cooperation commitments. One such commitment was the est... read more 

Upregulation of the Mitophagy-Related Gene EXOSC4 Is Associated with Immune Dysregulation in Spinal Cord Injury.

Molecular neurobiology
Spinal cord injury (SCI) profoundly impairs patients' quality of life and imposes a substantial economic burden on society, often resulting in irreversible neurological deficits. To investigate the involvement of mitophagy-related genes (MRGs) in SCI... read more 

Validation of a fully automated workflow for longitudinal strain using artificial intelligence.

Journal of echocardiography
BACKGROUND: Manual interpretation of echocardiographic data for strain analysis is time-consuming and prone to inter-observer variability. With the advent of artificial intelligence (AI), its potential to streamline echocardiographic interpretation a... read more 

Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate.

Updates in surgery
Despite the growing prominence of Artificial Intelligence (AI) in surgical practice, surgical residents and postgraduates receive limited formal training. A cross-sectional survey of 322 surgical residents and postgraduates from three Chinese medical... read more 

CDM-UNet: Content-Driven Enhanced Mamba Model for Medical Image Segmentation.

Interdisciplinary sciences, computational life sciences
Segmenting medical images plays a pivotal role in diagnosis, treatment planning, and healthcare. Recent advancements in deep learning have significantly transformed this domain. Convolutional Neural Networks (CNNs) are proficient at extracting local ... read more 

Machine Learning-Assisted Molecularly Imprinted Polymer Sensor for Point-of-Care Vancomycin Monitoring in Serum.

ACS applied bio materials
Optimizing vancomycin dosage is critical for treating severe infections and combating antimicrobial resistance, yet it is hampered by slow, centralized laboratory testing. To address this clinical gap, we have developed a low-cost, disposable electro... read more 

An Applied Framework of CLSM and Rheology for Controlling Foodborne Biofilms and Their Cleaning Agents and Disinfectants Resistance: A Review.

Letters in applied microbiology
Biofilms formed by foodborne pathogens pose a significant threat to food safety, as they enhance microbial resistance to disinfectants and environmental stress. Understanding the relationship between their intricate structure and macroscopic mechanic... read more 

Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abdominal aortic calcification (AAC), scored using a well-established and validated 24-point machine le... read more 

Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine.

Proceedings of the National Academy of Sciences of the United States of America
Autonomous physical learning systems modify their internal parameters and solve computational tasks without relying on external computation. Compared to traditional computers, they enjoy distributed and energy-efficient learning due to their physical... read more