Artificial Intelligence Medical Compendium

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

Showing 73,301 to 73,310 of 235,503 articles

A machine learning platform for genotype-specific cardiotoxicity risk prediction using patient-derived iPSC-CMs.

Journal of advanced research
INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the market. Individuals with inherited cardiac channelopathies are at increased risk due to their underlying electrophysiological vulnerability. OBJECTIV... read more 

Application of Fourier transform infrared (FTIR) spectroscopy in liquid biopsy to predict the response to the first-line immunotherapy in non-small-cell lung cancer (NSCLC) patients.

Biochemical and biophysical research communications
The direction of anticancer therapies has changed in recent years, including the increasing use of immunotherapy. However, around 50 % of non-small-cell lung cancer (NSCLC) patients do not respond to immunotherapy. Therefore, it is important to find ... read more 

Artificial intelligence in smartphone video analysis for equine asthma diagnostic support.

Equine veterinary journal
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic methods are invasive and require specialised equipment. There is a need for a non-invasive, cost-effe... read more 

Artificial intelligence in radiology examinations: a psychometric comparison of question generation methods.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: This study aimed to evaluate the usability of artificial intelligence (AI)-based question generation methods-Chat Generative Pre-trained Transformer (ChatGPT)-4o (a non-template-based large language model) and a template-based automatic item... read more 

Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.

Science & medicine in football
The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team performance and player recruitment. Research in this area makes use of large datasets consisting of event a... read more 

MILK10k: A Hierarchical Multimodal Imaging-Learning Toolkit for Diagnosing Pigmented and Nonpigmented Skin Cancer and its Simulators.

The Journal of investigative dermatology
In this study, we introduce MILK10k, a multimodal image dataset designed to enhance machine learning and artificial intelligence-driven applications for diagnosing skin lesions suspected to be malignant neoplasms. MILK10k includes both close-up and d... read more 

Artificial Intelligence and Endoscopist Diagnostic Agreement as a Framework for Colorectal Polyp Optical Diagnosis Implementation.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
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Medical image segmentation using dual-decoder mutual teaching with a mean teacher framework.

Pattern recognition
Accurate segmentation of medical images is essential for many clinical applications and is now typically achieved by training deep learning models on large annotated datasets. However, acquiring sufficient labeled images remains challenging, as pixel... read more 

AI, originality, and attribution: Researchers' perspectives on distinguishing contributions.

Accountability in research
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding ... read more