Artificial Intelligence Medical Compendium

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

Showing 37,711 to 37,720 of 223,469 articles

Cardioprotection in oncology: Mechanisms, risks and therapeutic strategies.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Objectives of this review is to conduct an analysis of current data of cardiotoxicity of anticancer drugs and radiation therapy, methods of cardiovascular risk stratification, strategies for primary and secondary cardioprotection, approaches to monit... read more 

Tailored Vapor Deposition Unlocks Large-Grain, Wafer-Scale Epitaxial Growth of 2D Magnetic CrCl3.

Advanced materials (Deerfield Beach, Fla.)
Two-dimensional magnetic materials (2D-MM) are an exciting playground for fundamental research, and for spintronics and quantum sensing. However, their large-grain, wafer-scale synthesis using scalable vapor deposition methods is still an unsolved ch... read more 

Editorial Commentary: From Tendon Wars to Mars: Why the Quadriceps Might Be the Last Autograft Standing.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
In 2026, we are sending probes to Mars, mining metals from asteroids, and debating whether artificial intelligence should write our operative notes, yet we are still arguing about which tendon to use for anterior cruciate ligament reconstruction. Ami... read more 

Dual-Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell-Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy.

Advanced healthcare materials
Tuberculosis remains a major infectious disease worldwide and demands new therapeutic approaches capable of targeting intracellular Mycobacterium tuberculosis. Using a machine learning (ML)-guided design strategy based on the plectasin scaffold, a pe... read more 

Rewiring the cardiovascular epigenome: the multi-target strategy of traditional Chinese medicine.

Epigenomics
Epigenetic mechanisms, including DNA methylation, histone modifications, and non-coding RNAs (ncRNAs), are fundamentally involved in the initiation and progression of cardiovascular diseases (CVDs). An increasing body of evidence suggests that Tradit... read more 

Predicting self-reported injury status among runners training for the New York City Marathon.

PM & R : the journal of injury, function, and rehabilitation
BACKGROUND: Although numerous studies have examined risk factors and prevention strategies for running-related injuries, few have rigorously tested predictive models. OBJECTIVE: To describe injury patterns throughout marathon training and assess the ... read more 

Use of Artificial Intelligence to Predict Outcomes in Critically Ill Patients Receiving Extracorporeal Membrane Oxygenation: A Systematic Review.

Journal of cardiothoracic and vascular anesthesia
Extracorporeal membrane oxygenation (ECMO) is widely used in patients with severe cardiac or respiratory failure. ECMO is resource and cost intensive and carries the potential for significant complications; therefore, identifying patients who would d... read more 

Offline constrained policy optimization with safe anchoring.

Neural networks : the official journal of the International Neural Network Society
The application of reinforcement learning (RL) in real-world scenarios is limited due to safety concerns and the distribution-shift challenge in the offline setting. To address these issues, we formulate safe offline RL as a constrained policy optimi... read more 

Machine learning identifies a 10-gene signature predicting hepatocellular carcinoma recurrence and immune-metabolic reprogramming.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Hepatocellular carcinoma (HCC) remains a major cause of cancer-related mortality, with frequent recurrence after curative treatment. Conventional clinicopathological prognostic systems fail to capture the molecular heterogeneity underlyin... read more 

Assessing the Credibility of ChatGPT on Temporomandibular Disorders.

European journal of dental education : official journal of the Association for Dental Education in Europe
INTRODUCTION: Large Language Models such as ChatGPT are increasingly used in dental education; however, their credibility in clinical contexts remains uncertain. This study is aimed to analyse the credibility and efficacy of responses given by ChatGP... read more