Artificial Intelligence Medical Compendium

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

Showing 2,121 to 2,130 of 202,026 articles

Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter.

PloS one
In recent years, power batteries have been widely used in electric vehicles, and the evaluation of state of charge (SOC) is an important parameter in battery management systems. Therefore, in this paper, we propose a time-series convolutional network... read more 

Fires reverse progress toward ozone air quality standards in the United States.

Science (New York, N.Y.)
Recent surges in wildfire emissions have exacerbated surface ozone pollution in the United States. Using deep learning, we developed a gapless daily surface ozone dataset at 1-kilometer resolution for 2003-2024. This dataset revealed a reversal in na... read more 

A narrowing window to understand AI.

Science (New York, N.Y.)
As capabilities of artificial intelligence (AI) advance rapidly, human understanding of these systems is increasingly falling behind. Several trends are converging to make AI systems harder to understand just as they become more consequential. Withou... read more 

Data-Driven, Mechanistically Guided Prediction of Yield and Chemoselectivity in SuFEx Reactions.

Journal of the American Chemical Society
Sulfur(VI) fluoride exchange (SuFEx) has emerged as a powerful click reaction for constructing diverse S(VI)-based linkages across chemical biology, materials science, and drug discovery. However, the diversity of SuFEx hubs and native nucleophiles g... read more 

Integrated Machine-Learning Framework for Balanced Performance-Safety Design of Iron-Based Remediation Materials.

Environmental science & technology
Optimizing iron-based materials via surface coatings and lattice engineering has been a major research focus for environmental remediation, yet higher reactivity to contaminants often elevates risks to organisms. To address this trade-off, we develop... read more 

Physical Attractiveness and Chances of Being Invited to Interview With a Medical Residency Program: Retrospective Cohort Study.

JMIR medical education
BACKGROUND: Applicants participating in the Residency Match generally submit a photograph through the Electronic Residency Application Service (ERAS). Studies demonstrate that subjectively more attractive applicants are more likely to succeed during ... read more 

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation.

JMIR medical informatics
BACKGROUND: Large language model (LLM) proofreaders for radiology reports generate many false positives (FPs) due to the low prevalence of errors. OBJECTIVE: This study aimed to determine whether an optimized LLM framework could improve both precisio... read more 

AI-Assisted Formative Assessment in Clinical Education: From Algorithms to Agency.

JMIR medical education
Artificial intelligence (AI) is rapidly reshaping clinical education by embedding assessment and feedback into everyday learning activities. Medical students can now use machine learning dashboards, generative AI, large language models, and emerging ... read more 

Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial.

JMIR medical informatics
BACKGROUND: Severe COVID-19 is a global health concern despite continuous vaccination campaigns because current therapies, such as dexamethasone and remdesivir, do not considerably improve immune function, especially in high-risk individuals. SARS-Co... read more 

Detecting Uncoded Self-Harm in Veterans' Electronic Health Records Using Positive and Unlabeled Learning: Retrospective Cohort Study.

Journal of medical Internet research
BACKGROUND: Underdiagnosis and undercoding are common across mental health conditions, particularly suicide and self-harm. This leaves health care datasets lacking reliable negative examples needed for predictive modeling, phenotype prevalence estima... read more