Artificial Intelligence Medical Compendium

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

Showing 36,161 to 36,170 of 223,137 articles

Acceptable accuracy for medical AI: a survey of physicians and the general population in Sweden.

BMJ health & care informatics
OBJECTIVES: To identify the lowest sensitivity and specificity that physicians and the general population consider acceptable for medical artificial intelligence (AI), relative to current human performance. METHODS: In a nationwide, cross-sectional s... read more 

Exploring the Ethical and Practical Considerations of Artificial Intelligence in Real-World Health Care Settings: Stakeholder Focus Group Study.

JMIR AI
BACKGROUND: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate hospitals. However, emerging ethical dilemmas surrounding their design, use, and oversight demand both... read more 

Physiologically inspired modeling of cortical dynamics through spiking neural networks.

Journal of neural engineering
the characterization of neural activity underlying neurophysiological function presents a major challenge in computational neuroscience. Several methods have been proposed to investigate cortical network dynamics by reconstructing underlying neural a... read more 

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

Journal of medical Internet research
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 

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

Informatics for health & social care
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 

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

The British journal of radiology
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 

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
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 

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

Environmental science & technology
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 

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

JMIR medical informatics
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 

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

JMIR mental health
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