Artificial Intelligence Medical Compendium

OBJECTIVE: To develop and evaluate an automated system for identifying healthcare barriers focusing on transportation issues in veterans' clinical notes using large language models (LLMs) and to assess the impact of different prompting strategies on ... read more 

OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dynamically predict mortality risk among intensive care unit (ICU) patients diagnosed with acute pancreatitis complicated by acute kidney injury (AP-AKI)... read more 

BACKGROUND: Differentiating Unipolar Depression (UD) from Bipolar Depression (BD) remains challenging due to overlapping symptoms, which can lead to misdiagnosis and inappropriate treatment. fNIRS provides a portable, objective measure of prefrontal ... read more 

BACKGROUND AND OBJECTIVE: Enhancer activity is central to the regulation of gene expression. Despite extensive computational research on enhancers, there is still a lack of understanding of the relationship between DNA sequences and enhancer activity... read more 

We developed a novel deep-learning network that integrated Progression-Free Interval (PFI) as a condition based on transfer learning and fine tuning, utilizing pathway-gene (KEGG) relationship to predict Overall Survival (OS) for The Cancer Genome At... read more 

With the increase in work-related stress, the issue of psychological pressure in occupational environments has gained increasing attention. This paper proposes an enhanced Informer stress recognition and classification method based on deep learning, ... read more 

Generative Artificial Intelligence (GenAI) tools are increasingly integrated into research and academic writing, offering opportunities to streamline workflows and increase productivity. However, these tools also introduce risks when used uncriticall... read more 

OBJECTIVE: To quantify external apical root resorption (EARR) on the incisors following non-extraction treatment of Class I malocclusion patients with moderate crowding, comparing clear aligners and fixed appliances using a novel 3D analysis of Cone-... read more 

OBJECTIVE: This 24-month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early-stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real-wo... read more 

This study introduces a novel approach for the rapid monitoring and visualization of food freshness using AI-integrated colorimetric odor sensors. Targeting total volatile basic nitrogen (TVB-N), a key indicator of meat spoilage, the method utilizes ... read more