Artificial Intelligence Medical Compendium

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

Showing 31,691 to 31,700 of 220,544 articles

Assessing ChatGPT's capability in understanding and reporting antiretroviral therapy drug-drug interactions (ACCURATE-DDI).

AIDS (London, England)
OBJECTIVES: Artificial intelligence tools are transforming access to medication information. However, their ability to accurately identify antiretroviral (ARV) drug-drug interactions (DDIs) remains unclear. This study evaluated ChatGPT's analysis of ... read more 

Evaluating the heterogeneous treatment effects of major depression polygenic risk scores on self-harm using causal forest.

Journal of mental health (Abingdon, England)
BACKGROUND: Self-harm, defined as non-fatal self-inflicted harm regardless of suicidal intent, is a critical global health issue influenced by the interaction between genetic and environmental factors. AIMS: This study investigates the causal effect ... read more 

Machine Learning Approach to Anticancer Activity Prediction of Transition-Metal Complexes Based on a Large-Scale Experimental Database.

Journal of medicinal chemistry
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental ... read more 

Accuracy of ChatGPT, Gemini, Claude and DeepSeek in Carbohydrate Counting.

Diabetes, obesity & metabolism
AIMS: To evaluate the accuracy of four general-purpose artificial intelligence (AI) models-ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic) and DeepSeek (DeepSeek AI)-in calculating the carbohydrate content of meals compared with clinicians-calc... read more 

AI-Assisted Classical Piano Intervention for Enhancing Resilience, Mindfulness, and Emotional Processing in Young Adults With Mild-to-Moderate Anxiety or Depression.

The Journal of general psychology
Mental-health-oriented interventions increasingly require structured, scalable, and nonpharmacological formats that can strengthen psychological functioning without reducing clinician oversight. This study examined whether a therapist-led, AI-assiste... read more 

A Novel Radiomics-based Interpretable Model for Bladder Cancer Grade Prediction Using White-Light Cystoscopy Images.

European urology open science
BACKGROUND AND OBJECTIVE: White-light cystoscopy (WLC) is the standard diagnostic modality for bladder cancer, but preoperative grading remains inaccurate. We developed a multichannel radiomics model to predict tumour grade (low-grade [LG] vs high-gr... read more 

Generalization of long-range machine learning potentials in complex chemical spaces.

Digital discovery
The vastness of chemical space makes generalization a central challenge in the development of machine learning interatomic potentials (MLIPs). While MLIPs could enable large-scale atomistic simulations with near-quantum accuracy, their usefulness is ... read more 

Adaptive real-time dosing strategy for advanced phosphorus removal using model predictive control and time-series analysis in WWTPs.

Water research
Efficient and compliant phosphorus removal in wastewater treatment plants (WWTPs) remains a major challenge, as dynamic influent conditions often lead to suboptimal chemical dosing, resulting in excessive operating costs or failure to meet effluent s... read more 

Spatial heterogeneity of riverine dissolved organic matter and its molecular relationship with dissolved organic carbon dynamics.

Water research
Dissolved organic matter (DOM) in rivers is a chemically complex continuum and plays a key role in riverine biogeochemical processes. However, the molecular-scale heterogeneity of DOM and its relationship with dissolved organic carbon (DOC) concentra... read more 

Intensifying extreme climatic events drive the normalization of cyanobacterial blooms in a large shallow eutrophic lake.

Water research
Under anthropogenic climate change, intensifying extreme climatic events are increasingly reshaping lake cyanobacterial blooms. However, their contributions remain poorly quantified and the causal pathways are unclear, limiting their integration into... read more