Artificial Intelligence Medical Compendium

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

Showing 31,001 to 31,010 of 220,293 articles

Dataset of manually curated peptides against arthropod-borne viruses.

Data in brief
Anti-arboviral peptides are biomolecules capable of interfering with key stages of the arboviral lifecycle. We present a dataset compiling 270 peptides composed of standard amino acids with reported activity against arboviruses, along with their leng... read more 

Decoupling Visual Parsing and Diagnostic Reasoning for Vision-Language Models (GPT-4o and GPT-5): Analysis Using Thoracic Imaging Quiz Cases.

AJR. American journal of roentgenology
BACKGROUND. Vision-language models (VLMs) have potential to identify findings on radiologic imaging (i.e., visual parsing) and translate findings into diagnoses (i.e., diagnostic reasoning). Current VLMs have shown insufficient performance to support... read more 

Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Cancers present significant DNA methylation changes, which arise in a stochastic manner, marked by extensive epigenetic variation, indicative of high epigenetic instability. We aimed to evaluate the utility of epigenetic instability for cell... read more 

A scale-down mini-bioreactor for the acceleration of data-driven bioprocess optimisation in cell therapy.

Biofabrication
Cell therapies have demonstrated great potential for treating a broad range of diseases where conventional treatments have failed. However, long development times and sub-optimal processing conditions often hinder their clinical translation. To effic... read more 

Polysectoid: a hyperredundant soft-bodied robot for modeling the role of parapodia in undulation and peristalsis.

Bioinspiration & biomimetics
Biological inspiration offers new and innovative solutions to exploring challenging terrains, and implementations in bio-inspired robotics in turn offers insights to biological form and function. In particular, annelids (segmented worms), such asNere... read more 

Iranian traffic sign dataset: A step towards understanding smart cities.

Data in brief
With the rapid expansion of smart cities and the growing need for accurate and real-time analysis of road infrastructure, the development of artificial intelligence systems capable of perceiving, analyzing, and recording environmental information has... read more 

AngioCAD: A public x-ray angiography dataset and an adaptive fusion framework for stenosis detection.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is a leading cause of mortality worldwide, underscoring the need for accurate and timely diagnosis. While X-ray coronary angiography remains the clinical gold standard for detecting stenosis, it... read more 

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

ESMO real world data and digital oncology
BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth factor receptor 2 (HER2) is essential for managing breast cancer (BC) patients, as these biomarkers guide targeted therapies. Traditional methods such as... read more 

Estimate renal cell carcinoma recurrence rates using electronic health records.

ESMO real world data and digital oncology
BACKGROUND: Lack of readily available recurrence data has limited the use of electronic health records (EHR) for risk assessment of cancer recurrence and optimal patient management. This study aims to derive high-quality EHR recurrence data and estim... read more 

Exploring three-dimensional reconstruction with Neural Radiance Field (NeRF) for coronary roadmap navigation and view-planning in X-ray coronary angiography: A feasibility study.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Three-dimensional (3D) reconstruction from X-ray coronary angiograms could enhance diagnosis and guide treatment of coronary artery disease. This study investigates the feasibility of applying Neural Radiance Field (NeRF), ... read more