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Surveys

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

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Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction.

PURPOSE: The time-intensive nature of acquiring 3D T1-weighted MRI and analyzing brain volumetry lim...

Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network.

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) pat...

Diagnosing Cataracts in the Digital Age: A Survey on AI, Metaverse, and Digital Twin Applications.

PURPOSE: The study explores the evolving landscape of cataract diagnosis, focusing on both tradition...

Ten quick tips for ensuring machine learning model validity.

Artificial Intelligence (AI) and Machine Learning (ML) models are increasingly deployed on biomedica...

Geographic inequities in neonatal survival in Nigeria: a cross-sectional evidence from spatial and artificial neural network analyses.

This study was conducted to provide empirical evidence of geographical variations of neonatal mortal...

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.

BACKGROUND: The application of artificial intelligence (AI) to health and health care is rapidly inc...

Development of a High-Resolution Indoor Radon Map Using a New Machine Learning-Based Probabilistic Model and German Radon Survey Data.

BACKGROUND: Radon is a carcinogenic, radioactive gas that can accumulate indoors and is undetected b...

Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge.

Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge...

Generative artificial intelligence in primary care: an online survey of UK general practitioners.

OBJECTIVES: Following the launch of ChatGPT in November 2022, interest in large language model-power...

Applying a community-engaged participatory machine learning model.

Although predictive algorithms have been described as the definitive solution to bias in health care...

Enhancing Cybersecurity in Healthcare: Evaluating Ensemble Learning Models for Intrusion Detection in the Internet of Medical Things.

This study investigates the efficacy of machine learning models for intrusion detection in the Inter...

Performance and reliability evaluation of an improved machine learning-based pure-tone audiometry with automated masking.

OBJECTIVE: Automated air-conduction pure-tone audiograms through Bayesian estimation and machine lea...

Assessing the affective quality of soundscape for individuals: Using third-party assessment combined with an artificial intelligence (TPA-AI) model.

When investigating the relationship between the acoustic environment and human wellbeing, there is a...

Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?

Despite implementing hundreds of strategies, cancer drug development suffers from a 95% failure rate...

The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and c...

MyofAPPcial: Construct validity of a novel technological aid for improving clinical reasoning in the management of myofascial pain syndrome.

BACKGROUND: Physiotherapists encounter challenges in diagnosing myofascial trigger points (MTrPs), w...

Handling missing data and measurement error for early-onset myopia risk prediction models.

BACKGROUND: Early identification of children at high risk of developing myopia is essential to preve...

Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.

Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily li...

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