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Surveys

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

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Spiking neural networks on FPGA: A survey of methodologies and recent advancements.

The mimicry of the biological brain's structure in information processing enables spiking neural net...

Fast Interpretable Greedy-Tree Sums.

Modern machine learning has achieved impressive prediction performance, but often sacrifices interpr...

Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.

BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments again...

Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction.

Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...

Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography.

PURPOSE: To determine how automation bias (inclination of humans to overly trust-automated decision-...

Familiarity with artificial intelligence drives optimism and adoption among veterinary professionals: 2024 survey.

OBJECTIVE: To capture veterinary professionals' perspectives and applications of AI in veterinary ca...

A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

In wearable smart systems, continuous monitoring and accurate classification of different sleep-rela...

Generative Artificial Intelligence in Medical Education-Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey.

BACKGROUND: Interest has recently increased in generative artificial intelligence (GenAI), a subset ...

A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.

This study proposes a deep learning-based motion assessment method that integrates the pose estimati...

Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study.

BACKGROUND: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths in 2020. ...

Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008.

Using follow-up data from the National Health and Nutrition Examination Survey (NHANES) database, we...

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning.

Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use dis...

A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data.

The machine learning-based model is a promising paradigm for predicting invasive disease events (iDE...

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.

The future of artificial intelligence (AI) safety is expected to include bias mitigation methods fro...

UnBias: Unveiling Bias Implications in Deep Learning Models for Healthcare Applications.

The rapid integration of deep learning-powered artificial intelligence systems in diverse applicatio...

Is more data always better? On alternative policies to mitigate bias in Artificial Intelligence health systems.

The development and implementation of Artificial Intelligence (AI) health systems represent a great ...

A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data.

Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource al...

Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

Asthma diagnosis poses challenges due to underreporting of symptoms, misdiagnoses, and limitations i...

Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver.

A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsatura...

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