Artificial Intelligence Medical Compendium

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

Showing 46,081 to 46,090 of 224,055 articles

Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand.

Nature communications
Increasing shares of wind and solar generation, together with rising electricity demand, introduce growing uncertainty into power system operations. Accurate day-ahead forecasts of electricity demand and renewable generation are essential for system ... read more 

Feasibility of an Augmented Reality Artificial Intelligence Tool for Real-Time Assessment of Thyroid Fine-Needle Aspiration Adequacy.

Cardiovascular and interventional radiology
PURPOSE: To evaluate the feasibility of developing an artificial intelligence application for real-time specimen adequacy assessment during ultrasound-guided fine needle aspiration of the thyroid gland using small, locally derived datasets and open-s... read more 

Gene Specific Pathogenicity Predictor for Chromatin Remodeling BAF Complex-Associated Neurodevelopmental Disorders.

HGG advances
Advancements in whole genome sequencing have increased the number of variants of uncertain significance (VUS) identified in human genomes. This has created a diagnostic bottleneck for genetic counselors tasked with sifting through these variants and ... read more 

Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Automated structuring of radiology reports is essential for data utilization and the development of medical artificial intelligence models. However, manual annotation by experts is labor-intensive, and processing real clinical data throug... read more 

Using machine learning-based Natural Language Processing to quantify emergency department presentations related to suicide or self-harm in the Australian Capital Territory.

The Australian and New Zealand journal of psychiatry
BACKGROUND: Suicide and self-harm are significant issues globally. Accurate, efficient and comprehensive data are required to identify people who present to Emergency Departments due to self-harm to receive current accepted interventions and to devel... read more 

Evaluating Accuracy of ChatGPT-4o in Automated Carbohydrate Estimation From Images as a Self-Management Tool for Adolescents With Type 1 Diabetes.

Journal of diabetes science and technology
INTRODUCTION: Type 1 diabetes mellitus (T1D) requires precise carbohydrate estimation to manage blood glucose and prevent chronic and acute complications to hyperglycemia or hypoglycemia. This study evaluates the accuracy of ChatGPT in estimating car... read more 

AI Algorithms in the Pharmaceutical Environment: Poster presented at PDA Microbiology Conference 2025.

PDA journal of pharmaceutical science and technology
In the pharmaceutical industry, image analysis plays a crucial role in microbial identification. Traditional parametric algorithms, while effective for tracking microbial growth over time, struggle with differentiating between bacterial and fungal sp... read more 

Evaluating the APAS Independence System for Automated Microbial Detection in Environmental Monitoring: Poster presented at PDA Microbiology Conference 2025.

PDA journal of pharmaceutical science and technology
Automated microbial detection systems are becoming increasingly essential in pharmaceutical manufacturing to enhance efficiency, accuracy, and compliance with Good Manufacturing Practice (GMP) standards. The APAS Independence System, developed by Cle... read more