Artificial Intelligence Medical Compendium

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

Showing 5,041 to 5,050 of 174,202 articles

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells.

Nature communications
DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n... read more 

Rational design of dual-atom nanozymes for deep infection healing guided by an interpretable intrinsic descriptor.

Materials horizons
Deep infections (DIs) continue to pose substantial threats to global public health and represent a critical challenge requiring a new generation of antibacterial agents. Oxidase (OXD)-like nanozymes, which directly activate oxygen, offer a promising ... read more 

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion.

Scientific reports
Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding ... read more 

A Fully Transformer Based Multimodal Framework for Explainable Cancer Image Segmentation Using Radiology Reports

arXiv
We introduce Med-CTX, a fully transformer based multimodal framework for explainable breast cancer ultrasound segmentation. We integrate clinical radiology reports to boost both performance and interpretability. Med-CTX achieves exact lesion deline... read more 

Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports
Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer... read more 

Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study.

Journal of clinical periodontology
AIM: To construct predictive models of periodontitis progression by applying Machine Learning (ML) to baseline data from a study of periodontitis progression. read more 

A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study.

JMIR formative research
BACKGROUND: Thyroid nodules are common, with ultrasound imaging as the primary modality for their assessment. Risk stratification systems like the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) have been develop... read more 

Convolutional autoencoder network lithology recognition based on scratch tests.

Scientific reports
To address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to establish a higher-precision lithology identificat... read more 

Five advanced chatbots solving European Diploma in Radiology (EDiR) text-based questions: differences in performance and consistency.

European radiology experimental
BACKGROUND: We compared the performance, confidence, and response consistency of five chatbots powered by large language models in solving European Diploma in Radiology (EDiR) text-based multiple-response questions. read more 

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more