Artificial Intelligence Medical Compendium

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

Showing 37,691 to 37,700 of 223,469 articles

Multi-field coupling enhanced plasmonic Moδ+ active site to efficiently hydrolyze ammonia borane.

Nature communications
Rapid recombination of photogenerated carriers and weak driving forces to inject hot electrons are critical bottlenecks in solar-driven ammonia borane hydrolysis. Herein, aided by machine learning, plasmon polarization-induced multi-field coupling is... read more 

Exploring how deep learning decodes anomalous diffusion via Grad-CAM.

Nature communications
While deep learning has been successfully applied to the data-driven classification of anomalous diffusion mechanisms, how the algorithm achieves the feat remains a mystery. Using a well-known technique aimed at achieving explainable AI, namely the G... read more 

Hormone deficiency and cardiovascular disease: clinical impact, treatment strategies and prognostic prediction.

Expert review of cardiovascular therapy
INTRODUCTION: Hormone deficiency states are increasingly recognized as important, yet often underappreciated, contributors to cardiovascular (CV) disease. Deficits affecting pituitary, thyroid, parathyroid, adrenal, and gonadal axes influence myocard... read more 

Exploring a plasma proteomic biosignature associated with cardiac involvement in Fabry disease.

Journal of molecular medicine (Berlin, Germany)
Fabry disease (FD) is an X-linked lysosomal disorder caused by a deficiency in α-galactosidase A, leading to the accumulation of globotriaosylceramide (Gb3) and lysoGb3. While this accumulation was long seen as the leading cause of symptoms, FD patho... read more 

IGSF9 drives malignant transformation and predicts early-stage lung adenocarcinoma in integrated transcriptomic analyses.

Discover oncology
PURPOSE: Lung adenocarcinoma (LUAD), the most common subtype of non-small cell lung cancer (NSCLC), often presents with mild or absent symptoms in its early stage, leading to delayed diagnosis and poor outcomes. This study aimed to elucidate the mole... read more 

Short-Peptide Biomaterials for Angiogenesis and Lymphangiogenesis: Advances in Tissue Engineering and Regenerative Medicine.

ACS biomaterials science & engineering
Vascular and lymphatic vessel regeneration is crucial for tissue repair and organ function restoration. However, conventional biomaterials are often constrained by poor biocompatibility and unpredictable degradation behavior. Engineered short peptide... read more 

Establishing a Sustainable Artificial Intelligence Center of Excellence for Health Care Systems: Part I-Strategic Frameworks, Infrastructure, and Performance Metrics.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Artificial Intelligence (AI) is rapidly transforming modern health care by enhancing data analysis, decision-making, and automation across clinical domains. In musculoskeletal health care, AI is poised to assume an emerging role in improving diagnost... read more 

A Deep Learning Prognostic Model for Diabetes Patients Using Bilateral Fundus Imaging.

Journal of diabetes science and technology
AIMS: Diabetes mellitus shortens life expectancy, driven primarily by premature mortality from vascular complications. Mortality models for intensive care units are well established, whereas outpatient mortality prediction remains challenging. To emp... read more 

A Wavelet AI Algorithm to Automatically Identify Postprandial Glucose Responses From Continuous Glucose Monitoring Profiles in People Without Diabetes.

Journal of diabetes science and technology
BACKGROUND: Automated identification of postprandial glucose responses (PPGR) from continuous glucose monitoring (CGM) profiles may detect early dysglycemia in people without diabetes. However, no standard approach for this task currently exists. MET... read more