AI Medical Compendium

Decoding Structure-Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual-Channel Graph Attention Network.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 2, 2026

Anion exchange membranes (AEMs) are key components in emerging energy technologies, yet their development is hindered by the challenge of simultaneously achieving high hydroxide conductivity and durable alkaline stability. These properties are govern... read more

Comparing Risk Profiles of Nicotine Pouch and Smokeless Tobacco Use in U.S. Adolescents: A Machine Learning Analysis.

Substance use & misuse Apr 2, 2026

Background: This study identified and compared the risk profiles associated with nicotine pouch (NP) and smokeless tobacco (ST) use among adolescents (12-17 years). Methods: We used publicly available data from the most recent wave (January 2022-Apri... read more

AI Chatbots for Mental Health Self-Management: Lived Experience-Centered Qualitative Study.

JMIR mental health Apr 2, 2026

BACKGROUND: Large language models (LLMs) now enable chatbots to engage in sensitive mental health conversations, including depression self-management. Yet their rapid deployment often overlooks how well these tools align with the priorities of people... read more

An Intelligent Interactive Management Platform for Rheumatoid Arthritis Care: Real-World Observational Study.

JMIR medical informatics Apr 2, 2026

BACKGROUND: Effective postdischarge management is essential for maintaining disease control and improving long-term outcomes in rheumatoid arthritis (RA). Digital health technologies, particularly intelligent management platforms, provide new opportu... read more

Rapid Identification and Quantification of Aqueous Antibiotics over a Machine Learning-Integrated Raman Sensor Array.

Environmental science & technology Apr 2, 2026

Surface-enhanced Raman spectroscopy (SERS) is a promising technique for on-site detection of aqueous pollutants, whereas single-substrate SERS suffers from low separability of analogous compounds and poor accuracy. Here, we propose a multisubstrate S... read more

Machine Learning Optimization of Laser Ablation in Liquid for the Green and Low-Cost Synthesis of Clean Gold Nanoparticles.

Journal of the American Chemical Society Apr 2, 2026

While gold nanoparticles (Au NPs) are widely employed in modern technology, their large-scale synthesis still faces challenges related to cost and sustainability. In addition, chemical contaminants are a problem when the highest purity is demanded, s... read more

Generative Artificial Intelligence for Medical Summarization in Prostate Cancer: Comparative Evaluation by Physicians and Patient Advocates-A Pilot Study.

JCO clinical cancer informatics Apr 2, 2026

PURPOSE: The exponential growth of scientific publications presents increasing challenges for clinicians and patients seeking to access up-to-date medical information. Language models (LMs) have emerged as powerful tools for generating and summarizin... read more

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

The British journal of radiology Apr 2, 2026

OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algorithms in radiology, which will change the experience of care for patients. Currently, there is still limited evidence of patient attitudes to AI implem... read more

Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning.

Informatics for health & social care Apr 2, 2026

PURPOSE: The U.S. Hospital Price Transparency mandate requires public disclosure of machine-readable files (MRFs), yet profound data heterogeneity hinders their utility for research and consumer use. This study evaluates a novel, multi-stage computat... read more

Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.

Journal of medical Internet research Apr 2, 2026

BACKGROUND: People with stroke face a high mortality risk, and an accurate prediction model is essential to the guidance of clinical decision-making in this population. Recently, with growing attention paid to machine learning (ML) in stroke care, so... read more

Artificial Intelligence Medical Compendium