Artificial Intelligence Medical Compendium

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

Showing 27,961 to 27,970 of 219,064 articles

Integrative Proteomic and Machine Learning Analysis Identifies Novel Predictors and Risk Model for Diabetic Macrovascular Complications.

Diabetes, obesity & metabolism
OBJECTIVE: Diabetic macrovascular complications continue to drive substantial morbidity, yet early detection tools and deeper mechanistic understanding remain scarce. This study aimed to pinpoint circulating protein biomarkers for diabetic macrovascu... read more 

Macrocyclic peptides as protein-protein interaction modulators: a review.

Organic & biomolecular chemistry
Protein-protein interactions (PPIs) govern essential cellular processes, such as signal transduction, enzymatic catalysis, and the formation of macromolecular complexes, but their broad and dynamic interfaces often lack deep binding pockets, making i... read more 

Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
OBJECTIVE: To develop and validate a deep learning-based segmentation method for accurate identification of fenestration markers and graft body contours in intraoperative fluoroscopic images during fenestrated endovascular aortic repair (FEVAR). METH... read more 

Urinary extracellular vesicle miRNA signature reflects pancreatic islet stress in type 2 diabetes.

Journal of diabetes investigation
INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early detection remains critical to prevent long-term complications. Urinary extracellular vesicle (ECV) m... read more 

Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI-Based Loop Detection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Looping during colonoscopy procedures is a major cause of patient discomfort and increases the risk of complications. With the rising incidence of colorectal cancer, there is an urgent need for safer and more efficient colonoscopy techniques. We deve... read more 

Smart PPE and wearable technology for construction safety management: A scientometric analysis and state-of-the-art review.

Archives of environmental & occupational health
This study presents a scientometric and state-of-the-art review of smart personal protective equipment (PPE) and wearable safety technologies (WSTs) in construction safety management for the period 2015-2024. Framed within SDG Target 8.8, the researc... read more 

Algorithms-Driven Optoelectronic Devices for Three-Dimensional Imaging.

Nano letters
Three-dimensional (3D) imaging captures spatial depth and multidimensional attributes, enabling precise scene reconstruction for diverse applications in robotics, augmented reality, precision medicine, and industrial processing. Fundamentally, 3D ima... read more 

Machine learning analysis of electroosmotic multi-hybrid immiscible urine flow in a bioactive channel: clinical perspectives.

Computer methods in biomechanics and biomedical engineering
This research offers an in-depth analysis of electro-osmotically induced, immiscible bio-convective flow of urine incorporated with five different nanoparticles (NPs) and actively motile microorganisms within a bio-reactive microchannel, subjected to... read more 

Phenotype Classification of Intact Cells by NMR Spectroscopy through Machine Learning Approaches.

Journal of the American Chemical Society
NMR spectroscopy is a powerful, noninvasive tool to analyze complex biological samples. In vitro, high-resolution, 1D NMR spectra of biofluids and cell extracts make it possible to classify biological samples based on their metabolic fingerprint. How... read more