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Surveys

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

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Showing 1009-1029 of 5,794 articles
A survey of patient acceptability of the use of artificial intelligence in the diagnosis of paediatric fractures: an observational study.

INTRODUCTION: This study aimed to assess carer attitudes towards the use of artificial intelligence ...

Deep Learning-Based Prognostics and Health Management Model for Pilot-Operated Cryogenic Safety Valves.

This paper highlights the significance of safety and reliability in modern industries, particularly ...

Machine learning study using 2020 SDHS data to determine poverty determinants in Somalia.

Extensive research has been conducted on poverty in developing countries using conventional regressi...

Framework-based qualitative analysis of free responses of Large Language Models: Algorithmic fidelity.

Today, with the advent of Large-scale generative Language Models (LLMs) it is now possible to simula...

Source-free unsupervised domain adaptation: A survey.

Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention for tacklin...

Nordic radiographers' and students' perspectives on artificial intelligence - A cross-sectional online survey.

INTRODUCTION: The integration of artificial intelligence (AI) into the domain of radiography holds s...

Feasibility and validity of using deep learning to reconstruct 12-lead ECG from three‑lead signals.

BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devic...

Nursing Perceptions of Robotic Technology in Healthcare: A Pretest-Posttest Survey Analysis Using an Educational Video.

OCCUPATIONAL APPLICATIONSWe used a survey to evaluate the perceptions of nurses and nursing students...

A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.

Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in t...

Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals.

The advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate ...

Building trust in deep learning-based immune response predictors with interpretable explanations.

The ability to predict whether a peptide will get presented on Major Histocompatibility Complex (MHC...

A scoping review of fair machine learning techniques when using real-world data.

OBJECTIVE: The integration of artificial intelligence (AI) and machine learning (ML) in health care ...

What's in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT.

BACKGROUND: Artificial intelligence chatbots such as ChatGPT (OpenAI) have garnered excitement about...

A Survey of Clinicians' Views of the Utility of Large Language Models.

OBJECTIVES:  Large language models (LLMs) like Generative pre-trained transformer (ChatGPT) are powe...

Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysis.

Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellul...

Evaluating the performance of the cognitive workload model with subjective endorsement in addition to EEG.

The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Ev...

Data extraction for evidence synthesis using a large language model: A proof-of-concept study.

Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To dat...

Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example.

BACKGROUND AND PURPOSE: Studies investigating the application of Artificial Intelligence (AI) in the...

From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images.

Survival analysis is an integral part of medical statistics that is extensively utilized to establis...

Who should decide how limited healthcare resources are prioritized? Autonomous technology as a compelling alternative to humans.

Who should decide how limited resources are prioritized? We ask this question in a healthcare contex...

Decoding emotions: Exploring the validity of sentiment analysis in psychotherapy.

OBJECTIVE: Given the importance of emotions in psychotherapy, valid measures are essential for resea...

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