Artificial Intelligence Medical Compendium

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

Showing 39,581 to 39,590 of 223,737 articles

Mapping the subgingival HerBiome and HisBiome over the human healthspan.

Journal of periodontology
BACKGROUND: Understanding the intricate relationship between sex, age, and the oral microbiome is crucial for deciphering the onset and progression of numerous age-related oral and systemic diseases. METHODS: Subgingival plaque was collected from 781... read more 

TabPFN Opens New Avenues for Small-Data Tabular Learning in Drug Discovery.

Journal of chemical information and modeling
Early-stage drug discovery often suffers from data scarcity and out-of-distribution (OOD) shifts, which constrain the reliability of predictive models. While deep learning has advanced representation learning from molecular and biological data, tabul... read more 

Perovskite solar cells towards industrialization: overcoming challenges with data-driven strategies.

Nanoscale
Perovskite solar cells (PSCs) represent a transformative photovoltaic technology, achieving a certified power conversion efficiency (PCE) of 27% and demonstrating the potential for low-cost manufacturing. However, their path to widespread commerciali... read more 

Nurse Practitioner Students' Perceptions of an Artificial Intelligence Differential Diagnosis Tool: A Pilot Study.

Journal of clinical nursing
AIM: The aim of this study is to assess nurse practitioner students' perceptions and engagement with Isabel's artificial intelligence (AI) based differential diagnosis tool to support their decision-making skills during their theoretical and clinical... read more 

REM Sleep Abnormalities in Children With Autism Spectrum Disorder.

Autism research : official journal of the International Society for Autism Research
Sleep disturbances are common in children with autism spectrum disorder (ASD). However, the sleep pattern changes including rapid eye movement (REM) sleep for ASD in pediatric populations remain unknown. Using polysomnography (PSG) data from the Nati... read more 

ToxPLTC: Peptide Toxicity Prediction by Integrating Pretrained T5 Protein Language Model and Text Convolutional Neural Network.

Journal of chemical information and modeling
Peptide-based therapeutics show promising potential in treating a range of diseases, such as diabetes, cancer, and chronic pain. However, critical challenges, including peptide toxicity, immunogenicity, and stability deficiencies of peptides, have be... read more 

Markerless Motion Analysis and AI-Based Platforms for Neurological Telerehabilitation: A Scoping Review.

NeuroRehabilitation
BackgroundTelerehabilitation (TR) delivers rehabilitation services through digital and information technologies. Recent advances in artificial intelligence (AI) have introduced new opportunities for TR, particularly in remote monitoring and individua... read more 

The Challenges of Web Scraping and AI for Research Ethics in Canada: A Survey of University REBs.

Journal of empirical research on human research ethics : JERHRE
With the increasing popularity of AI, it is critical to gain an understanding of how academic research ethics are impacted. Unfortunately, in Canada, the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, or the TCPS2, lags ... read more 

Artificial intelligence in cancer screening: a narrative review of current evidence and future directions.

Expert review of molecular diagnostics
INTRODUCTION: Cancer remains one of the leading causes of death worldwide, with outcomes improving significantly when the disease is detected at an early stage. Screening programs have demonstrated clear benefits, yet they often struggle with limited... read more 

Comparative study of the image quality and radiation dose in paranasal-sinus CT with different tube voltages and reconstruction algorithms.

Journal of X-ray science and technology
ObjectivesTo evaluate the application of different tube voltages and image-reconstruction algorithms in paranasal-sinus computed tomography (CT) and optimizes the scanning protocols for paranasal-sinus CT while balancing between image quality and rad... read more