Artificial Intelligence Medical Compendium

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

Showing 921 to 930 of 200,219 articles

Portable Moxibustion Robot With Intelligent Acupoint Positioning Guided by Visual Sensing.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled practitioners, time-consuming and labour-intensive procedures, this study developed an intelligent robotic system for automated acupoint positioning an... read more 

Triglyceride-Glucose-Waist-to-Weight Index: Novel Biomarker for Mild Cognitive Impairment in Older People With Sarcopenic Obesity.

Journal of cachexia, sarcopenia and muscle
BACKGROUND: Sarcopenic obesity (SO) is closely associated with mild cognitive impairment (MCI). However, traditional body composition-based diagnostic criteria for SO fail to adequately incorporate insulin resistance, a key pathophysiological mechani... read more 

Metabolomic Machine Learning Predictor for Adequate and Deep Response to UDCA in Non-Cirrhotic PBC.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND: Primary biliary cholangitis (PBC) patients exhibit heterogeneous responses to ursodeoxycholic acid (UDCA), with partial responders remaining at significant risk of disease progression. Current prognostic tools lack metabolic insights nece... read more 

PEARL: integrative multi-omics classification and omics feature discovery via deep graph learning.

Bioinformatics (Oxford, England)
MOTIVATION: Integrating multi-omics data provides valuable insights into biological processes by capturing information across multiple molecular layers, enabling a comprehensive understanding of complex diseases and driving advancements in precision ... read more 

Robust and interpretable machine learning for affinity prioritization of designed protein interactors.

Protein science : a publication of the Protein Society
Recent advances in computational protein design have resulted in a large pool of de novo interactors that necessitate efficient and robust tools for candidate prioritization. Here, we introduce Proffinity, a one-stop computational workflow employing ... read more 

ChatGPT in Public Cardiovascular Healthcare: Accuracy, Limitations, and Implications.

Journal of evaluation in clinical practice
INTRODUCTION: ChatGPT is a cost-effective artificial intelligence (AI) tool designed to facilitate virtual interactions with humans, and its application in healthcare is expanding. However, research on ChatGPT's effectiveness in public healthcare, pa... read more 

CEUS-Based Microvascular Invasion Predictor in HCC: Improving Prognostic Stratification Following Thermal Ablation.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND & AIMS: Microvascular invasion (MVI) critically impacts hepatocellular carcinoma (HCC) management. We aimed to develop and validate a deep learning model integrating contrast-enhanced ultrasound (CEUS) and clinical features for assessing M... read more 

Breaking the Limits of Low-Field MRI: Deep Learning Approaches to Image Enhancement.

NMR in biomedicine
Low-field magnetic resonance imaging (LF-MRI) has emerged as a transformative technology, offering portable and cost-effective solutions for medical imaging in resource-limited settings. However, LF-MRI systems face inherent challenges, including low... read more 

Integrated Experimental and Computational Evaluation of the Gut-Targeted Anticoccidial Potential of Agaricus bisporus Methanolic Extract.

Biomedical chromatography : BMC
Coccidiosis caused by Eimeria spp. is a major constraint to global poultry production, causing economic losses exceeding USD 13 billion annually. Growing drug resistance from prolonged anticoccidial use highlights the need for safer, eco-friendly alt... read more