Surveys

In Reply to the Letter to the Editor Regarding: "Assessing the suitability of artificial intelligence-based chatbots as counseling agents for brain tumor patients: A comprehensive survey analysis".

Letter to the Editor Regarding "Assessing the Suitability of Artificial Intelligence-Based Chatbots as Counseling Agents for Brain Tumor Patients: A Comprehensive Survey Analysis".

How Data Infrastructure Deals with Bias Problems in Medical Imaging.

The paper discusses biases in medical imaging analysis, particularly focusing on the challenges pose...

Balancing Acts: Tackling Data Imbalance in Machine Learning for Predicting Myocardial Infarction in Type 2 Diabetes.

Type 2 Diabetes (T2D) is a prevalent lifelong health condition. It is predicted that over 500 millio...

Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution.

Feature attribution methods stand as a popular approach for explaining the decisions made by convolu...

Exploring the Intersection of AI and Inclusive Design for People with Disabilities.

This scoping review examines current research on AI for inclusive design for people with disabilitie...

Pitfalls of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with chal...

Initial Investigations into Physician Acceptance of Medical AI: Examining Trust, Resistance, Perceived Job Insecurity, and Usage Intentions.

This study evaluated physicians' attitudes towards medical AI across three Taiwanese hospitals, focu...

Evaluation of End-User Participation in Artificial Intelligence Nursing Projects.

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...

Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care.

There is no study that comprehensively evaluates data on the readability and quality of "palliative ...

Refined matrix completion for spectrum estimation of heart rate variability.

Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. Spectral an...

Comparison of the Usability and Reliability of Answers to Clinical Questions: AI-Generated ChatGPT versus a Human-Authored Resource.

OBJECTIVES: Our aim was to compare the usability and reliability of answers to clinical questions po...

Overcoming "Fear of AI" Bias: Insights from the Technology Acceptance Model.

DiffPROTACs is a deep learning-based generator for proteolysis targeting chimeras.

PROteolysis TArgeting Chimeras (PROTACs) has recently emerged as a promising technology. However, th...

Trust me if you can: a survey on reliability and interpretability of machine learning approaches for drug sensitivity prediction in cancer.

With the ever-increasing number of artificial intelligence (AI) systems, mitigating risks associated...

AI and Big Data: Current and Future Nursing Practitioners' Views on Future of Healthcare Education Provision.

Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or...

A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs.

Long noncoding RNAs (lncRNAs) have been discovered to be extensively involved in eukaryotic epigenet...

Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI.

Early diagnosis of Acute Stress Disorder (ASD) is important, given its potential progression to post...

Enhancing Non-Contact Heart Rate Monitoring: An Intelligent Multi-ROI Approach with Face Masking and CNN-Based Feature Adaptation.

Heart rate (HR) estimation from facial video streams has emerged in the recent years as a promising ...

Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.

Suicide poses a global health crisis with significant social and economic impact. Prevention may be ...

Feature Imitating Networks Enhance the Performance, Reliability and Speed of Deep Learning on Biomedical Image Processing Tasks.

Feature-Imitating-Networks (FINs) are neural networks that are first trained to approximate closed-f...