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Surveys

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

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An Intelligent Channel Estimation Algorithm Based on Extended Model for 5G-V2X.

Car networking systems based on 5G-V2X (vehicle-to-everything) have high requirements for reliabilit...

Multi-agent medical image segmentation: A survey.

During the last decades, the healthcare area has increasingly relied on medical imaging for the diag...

Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow.

Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important...

Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations.

Machine learning methods are widely used within the medical field. However, the reliability and effi...

Evaluation of Robotic Systems on Cytotoxic Drug Preparation: A Systematic Review and Meta-Analysis.

: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs wa...

Critical Device Reliability Assessment in Healthcare Services.

Medical device reliability is the ability of medical devices to endure functioning and is indispensa...

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.

Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease diagnosis w...

Korean dental hygiene students' perceptions and attitudes toward artificial intelligence: An online survey.

OBJECTIVES: This study investigated Korean dental hygiene students' perceptions and attitudes toward...

EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation.

Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular...

Multi-attribute decision-making method based on q-rung orthopair probabilistic hesitant fuzzy schweizer-sklar power weighted hamy mean operator.

In order to further improve the computing power of the information aggregation operator in the q-run...

Small-scale location identification in natural environments with deep learning based on biomimetic sonar echoes.

Many bat species navigate in complex, heavily vegetated habitats. To achieve this, the animal relies...

LecturePlus: a learner-centered teaching method to promote deep learning.

A new teaching format, the LecturePlus, was formulated as a lecture followed by small-group learning...

Automating the Standardized Cosmesis and Health Nasal Outcomes Survey Classification with Convolutional Neural Networks.

Currently, the aesthetic appearance and structure of the nose in a rhinoplasty patient is evaluated...

How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.

The present study explores the plausibility of measuring personality indirectly through an artificia...

Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance.

In the field of wearable robotics, assistance needs to be individualized for the user to maximize be...

Evaluation of AIML + HDR-A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers.

Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medi...

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey.

Recent advances in electronic devices and communication infrastructure have revolutionized the tradi...

Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective.

The encounter of large amounts of biological sequence data generated during the last decades and the...

Socially assistive robots in health and social care: Acceptance and cultural factors. Results from an exploratory international online survey.

AIM: This study explored the views of an international sample of registered nurses and midwives work...

Deep Learning and Medical Image Processing Techniques for Diabetic Retinopathy: A Survey of Applications, Challenges, and Future Trends.

Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the world. ...

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