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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Showing 1219-1239 of 3,854 articles
Characterization of Models for Identifying Physical and Cognitive Frailty in Older Adults With Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric...

Jan 2026 41610414
Scale abbreviation with supervised machine learning: A comparison of feature selection techniques.

Scale abbreviation is a crucial task for researchers aiming to reduce response burden and optimize d...

Jan 2026 41612001
Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.

In Zimbabwe, the neonatal mortality rate (NMR) is higher than the regional average, and the country ...

Jan 2026 41610121
Multi-model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss.

OBJECTIVE: To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three la...

Jan 2026 41603577
Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos.

BACKGROUND: Patients increasingly rely on short-video platforms for information regarding in vitro f...

Jan 2026 41604533
Interdisciplinary expertise to advance human-centered explainable AI.

The field of artificial intelligence (AI) is rapidly influencing health and healthcare, but bias and...

Jan 2026 41653739
Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.

BACKGROUND AND OBJECTIVES: As artificial intelligence (AI) rapidly becomes an integral tool in clini...

Jan 2026 41659755
Gender-based data bias and model fairness evaluation in benchmarked open-access disease prediction datasets.

The widespread use of open-access datasets for validating machine learning (ML) models has raised cr...

Jan 2026 41604946
Lymphocyte-based inflammatory biomarkers during the postpartum period and postpartum depression symptoms in U.S. women.

BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infa...

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Jan 2026 41605302
The role of epistemic beliefs in predicting ChatGPT adoption and avoidance in higher education.

AI-based tools such as ChatGPT are currently reshaping the landscape of higher education and signifi...

Jan 2026 41592372
Development and validation of a machine learning model for frailty screening using claims data in Japan: the Longevity Improvement & Fair Evidence Study.

BACKGROUND: Frailty is an ageing-associated multidimensional condition linked to higher long-term ca...

Jan 2026 41605313
Predicting dose accumulation reliability at the planning stage, with an application to adaptive proton therapy.

Objective.Online adaptive proton therapy could benefit from reoptimization that considers the total ...

Jan 2026 41505904
Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of pa...

Jan 2026 41576265
Managing Conflict of Interest in Clinical Practice Guidelines With Artificial Intelligence: Insights From Large Language Models and Beyond.

BACKGROUND: Conflict of interest (COI) management is critical for ensuring the scientific integrity ...

Jan 2026 41571612
Awareness, trust, and expectations of AI for glaucoma care among Bulgarian ophthalmologists: Role of demographic factors.

Artificial intelligence (AI) holds promise for enhancing glaucoma screening and management, yet its ...

(1)
Jan 2026 41569993
Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.

OBJECTIVES: Earlier heart failure (HF) diagnosis in the community could allow timely treatment initi...

Jan 2026 41565332
Patient perceptions and attitudes towards the use of artificial intelligence in the symptomatic breast unit.

OBJECTIVES: Artificial intelligence (AI) has been applied in a number of breast screening settings w...

Jan 2026 41565794
VHU-Net: Variational hadamard U-Net for body MRI bias field correction.

Bias field artifacts in magnetic resonance imaging (MRI) scans introduce spatially smooth intensity ...

Jan 2026 41579486
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