Artificial Intelligence Medical Compendium

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

Showing 7,371 to 7,380 of 206,272 articles

From Technological Innovation to Clinical Translation: Progress and Challenges in 3D Bioprinting for the Development of Breast Cancer Bone Metastasis Models.

Advanced healthcare materials
The construction of 3D in vitro tumor models centered on bioprinting technology represents one of the most anticipated interdisciplinary innovations and medical applications in recent years. Breakthrough research achievements have been made in the co... read more 

Application of construction and validation of logistic regression model in risk prediction of non-proliferative diabetic retinopathy in type 2 diabetes mellitus.

Diabetic medicine : a journal of the British Diabetic Association
AIMS: Diabetic retinopathy (DR) is a leading cause of vision impairment in type 2 diabetes mellitus (T2DM), with non-proliferative DR (NPDR) representing its most prevalent form. Early identification of high-risk individuals remains challenging due t... read more 

Ultrasound-Mediated Thrombolysis: From Mechanistic Insights to Advanced Nanoplatforms and Clinical Translation.

Advanced healthcare materials
Although pharmacological thrombolysis and mechanical thrombectomy are standard treatments for thromboembolic diseases, they are limited by hemorrhagic risks and incomplete revascularization. Ultrasound-mediated thrombolysis (UMT) has emerged as a pro... read more 

A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends.

Medicine
INTRODUCTION: Artificial intelligence (AI) is increasingly being integrated into anatomy education, yet a comprehensive overview of the field's development and emerging trends remains lacking. This study identifies research hotspots and trends in AI ... read more 

The heart's fibrous web: A bibliometric analysis of cardiac fibrosis in Asia and Oceania.

Medicine
BACKGROUND: Cardiac fibrosis is a pathophysiologic condition in heart diseases. It refers to an excess deposition of extracellular matrix, which will cause hardening and stiffness in heart tissues, leading to heart failure. By considering the high pr... read more 

Common biomarkers of Alzheimer disease and postoperative delirium.

Medicine
Alzheimer disease (AD) and Postoperative delirium (POD) may share a common mechanism, but their shared genes and potential novel therapeutic targets remains unknown. We selected datasets GSE48350, GSE4226, and GSE16759 containing AD and control sampl... read more 

Identification of senescence-related biomarker for aortic dissection based on bioinformatics and machine learning algorithms.

Medicine
Aortic dissection (AD) is a vascular surgical disease that seriously threatens human health. Due to a high misdiagnosis rate and unclear pathogenesis, it brings greater challenges to AD patients and vascular surgeons. This study aimed to explore sens... read more 

Association between the development of sepsis and the BAR index in patients with acute pancreatitis: A retrospective investigation based on MIMIC-IV database.

Medicine
Sepsis, as a severe complication of acute pancreatitis (AP), needs to be identified and treated as early as possible. The blood urea nitrogen-to-albumin ratio (BAR) index has shown good predictive ability in many studies. However, its effectiveness i... read more 

Bioinformatics analysis identifies biomarkers associated with T-cell depletion in systemic lupus erythematosus.

Medicine
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that affects multiple organ systems. In SLE, T-cell subsets are closely associated with autoimmunity and organ inflammation. Detecting T-cell exhaustion (TEX)-related biomarkers is cr... read more 

Environmental toxicant glyphosate induces cardiotoxicity: New insights from network toxicology, integrated machine learning, molecular modeling and multidimensional bioinformatics analysis.

Medicine
Glyphosate is one of the world's most widely used herbicide, yet the causal relationship between glyphosate and cardiotoxicity remains inadequate. To elucidate the cardiotoxic mechanisms of glyphosate, an integrative strategy was developed in this wo... read more