Surgery

Surveys

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

5,794 articles
Stay Ahead - Weekly Surveys research updates
Subscribe
Browse Categories
Showing 1282-1302 of 5,794 articles
"Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation.

Despite the expert-level performance of artificial intelligence (AI) models for various medical imag...

Development and Validation of an Observational Game Analysis Tool with Artificial Intelligence for Handball: Handball.ai.

Performance analysis based on artificial intelligence together with game-related statistical models ...

Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond.

Machine learning on electromyography (EMG) has recently achieved remarkable success on various tasks...

SAF: Stakeholders' Agreement on Fairness in the Practice of Machine Learning Development.

This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes a...

The Sins of the Parents Are to Be Laid Upon the Children: Biased Humans, Biased Data, Biased Models.

Technological innovations have become a key driver of societal advancements. Nowhere is this more ev...

Exploring the artificial intelligence "Trust paradox": Evidence from a survey experiment in the United States.

Advances in Artificial Intelligence (AI) are poised to transform society, national defense, and the ...

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians.

Predictive artificial intelligence (AI) systems based on deep learning have been shown to achieve ex...

Smartphone Authentication System Using Personal Gaits and a Deep Learning Model.

In a society centered on hyper-connectivity, information sharing is crucial, but it must be ensured ...

Mitigating bias in AI at the point of care.

Promoting equity in AI in health care requires addressing biases at cli nical implementation.

A Survey on Artificial Intelligence in Pulmonary Imaging.

Over the last decade, deep learning (DL) has contributed a paradigm shift in computer vision and ima...

A survey on neural-symbolic learning systems.

In recent years, neural systems have demonstrated highly effective learning ability and superior per...

Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data.

Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds that dis...

A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots.

The state-of-the-art reinforcement learning (RL) techniques have made innumerable advancements in ro...

Competency assessment for the Versius surgical robot: a validity investigation study of a virtual reality simulator-based test.

BACKGROUND: When introducing new equipment like robotic surgical systems, it is essential to ensure ...

Reliability of Medical Information Provided by ChatGPT: Assessment Against Clinical Guidelines and Patient Information Quality Instrument.

BACKGROUND: ChatGPT-4 is the latest release of a novel artificial intelligence (AI) chatbot able to ...

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.

Since 2016, we have witnessed the tremendous growth of artificial intelligence+visualization (AI+VIS...

Machine Learning Methods for Small Data Challenges in Molecular Science.

Small data are often used in scientific and engineering research due to the presence of various cons...

Predictive Uncertainty Estimation for Camouflaged Object Detection.

Uncertainty is inherent in machine learning methods, especially those for camouflaged object detecti...

A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room.

In safety-critical automatic systems, safety can be compromised if operators lack engagement. Effect...

Browse Categories