Artificial Intelligence Medical Compendium

BACKGROUND AND AIMS: Cholangiocarcinoma (CCA) is one of the most lethal cancers, characterized by molecular heterogeneity and treatment resistance. To uncover new biological signals and therapeutic opportunities, we employed multiomic characterizatio... read more 

PURPOSE: Medical schools would benefit from systematic guidance for developing comprehensive artificial intelligence (AI) policies, given generative AI's rapid integration into medical education. This study developed and applied an idealized AI polic... read more 

PURPOSE/OBJECTIVE: Text-to-image (TTI) systems are artificial intelligence (AI) models that incorporate large amounts of data to produce high-resolution images. Although research has documented racial/ethnic and gender bias in TTI, little has examine... read more 

Artificial intelligence (AI) is becoming increasingly integrated into professional settings, yet little is known about its use in school psychology. As AI technologies continue to evolve, understanding how school psychologists are incorporating them ... read more 

Objective. This study evaluated the predictive performance of machine learning and deep learning models in estimating manual strength in men and women using anthropometric variables. Methods. Anthropometric and strength data were collected from 382 p... read more 

The integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making, patient outcomes, and workflows. AI inference, applying trained models to new data, is central to this evolution, with cloud-based infrastructur... read more 

We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents based on clinical characteristics, including putatively prodromal symptoms. Adolescent inpatients (ag... read more 

Radiology reports are essential for medical decision-making, providing crucial data for diagnosing diseases, devising treatment plans, and monitoring disease progression. While large language models (LLMs) have shown promise in processing free-text r... read more 

PURPOSE: To propose and evaluate an optimized MP-RAGE protocol for rapid T1-weighted imaging of the brain at 0.55 T. METHODS: Incoherent and coherent steady state free precession (SSFP) RAGE kernels with constant and variable excitation angles were i... read more 

OBJECTIVES: Despite the growing use of artificial intelligence (AI) in medicine, imaging, and dermatology, to date, there is no information on the use of AI for discriminating cosmetic fillers on ultrasound (US). METHODS: An international collaborati... read more