Artificial Intelligence Medical Compendium

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

Showing 91 to 100 of 199,772 articles

Medication-Wide Association Study of Alzheimer's Disease and Related Dementias: Identifying Drug Candidates from Electronic Health Records through Explainable AI

medRxiv
Objective: Alzheimer's disease (AD) is a leading cause of death and disability, and treatment options for Alzheimer's disease and related dementias (ADRD) remain limited. We applied a data-driven, mechanism-agnostic Medication-Wide Association Study ... read more 

Prognostic performance of an AI-based recurrence risk model in clinically low-risk HR+/HER2- early breast cancer

medRxiv
Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central for therapeutic decision-making, including identifying patients who may safely avoid adjuvant systemic therapy. However, the performance of existing pro... read more 

Agentic Chart Review from Longitudinal Clinical Notes: a Lung Cancer Guideline Concordance Use Case

medRxiv
Clinical chart abstraction extracts structured patient variables from longitudinal clinical notes but is labor-intensive and difficult to scale. We evaluated LLM agents for question-guided chart review using lung cancer molecular testing guideline co... read more 

Health Care Students/Professionals Perspectives on Artificial Intelligence: Survey in Erbil, Iraq

medRxiv
Abstract Background: Artificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing develop... read more 

Exploring the Interpretability of AI Decision Support Systems for Surgical Anatomy Recognition

medRxiv
Artificial intelligence (AI) decision support systems for surgery hold promise but face barriers to adoption, particularly around the interpretability of their outputs. We conducted an international cross-sectional survey of 47 neurosurgeons to evalu... read more 

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

medRxiv
Background and Objectives: The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using da... read more 

Artificial intelligence for predicting the pubertal growth spurt using cephalometric and hand-wrist radiographs: a systematic review and meta-analysis.

BMC oral health
INTRODUCTION: The optimal timing of dentofacial orthopedic and growth-modifying orthodontic interventions depends on accurate assessment of skeletal maturation, particularly the pubertal growth spurt (PGS). This systematic review and meta-analysis ev... read more 

Smartphone-based Detection of Group A Streptococcal Pharyngitis in Ugandan Children: A Pilot Study.

The Pediatric infectious disease journal
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet affordable point-of-care diagnostics remain limited in low-resource settings. We conducted a prospecti... read more 

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

American journal of epidemiology
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in respiratory diseases such as tuberculosis (TB). We apply network techniques to identify transmission cl... read more 

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18F-FDG Images and Evaluation for Clinical Use.

Journal of nuclear medicine technology
The use of amyloid PET to assess patient suitability of disease-modifying drugs for Alzheimer disease is increasing. This study aimed to synthesize amyloid PET images from 18F-FDG PET images using a generative artificial intelligence algorithm to red... read more