Surgery

Surveys

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

5,820 articles
Stay Ahead - Weekly Surveys research updates
Subscribe
Browse Categories
Showing 1471-1491 of 5,820 articles
Population codes enable learning from few examples by shaping inductive bias.

Learning from a limited number of experiences requires suitable inductive biases. To identify how in...

Early stopping by correlating online indicators in neural networks.

In order to minimize the generalization error in neural networks, a novel technique to identify over...

Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being.

Today, society is more aware of their well-being and health, making wearable devices a new and affor...

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.

BACKGROUND: Artificial intelligence (AI) and machine learning are transforming the optimization of c...

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.

Advances in computer science and data-analytic methods are driving a new era in mental health resear...

Validity and reliability of a mobile digital imaging analysis trained by a four-compartment model.

BACKGROUND: Digital imaging analysis (DIA) estimates collected from mobile applications comprise a n...

Immersive Virtual Reality during Robot-Assisted Gait Training: Validation of a New Device in Stroke Rehabilitation.

Background and objective: Duration of rehabilitation and active participation are crucial for gait r...

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record t...

Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods.

BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in ...

From Show to Tell: A Survey on Deep Learning-Based Image Captioning.

Connecting Vision and Language plays an essential role in Generative Intelligence. For this reason, ...

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications.

Graph neural networks (GNNs) have achieved great success in many research areas ranging from traffic...

Machine-learning-based ground sink susceptibility evaluation using underground pipeline data in Korean urban area.

Ground subsidence caused by natural factors, including groundwater, has been extensively researched....

Turning words into numbers: Assessing work attitudes using natural language processing.

Researchers and practitioners are often interested in assessing employee attitudes and work percepti...

Developing a Robotic Surgery Curriculum: Selection of Virtual Reality Drills for Content Alignment.

INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no c...

A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing.

Modulation classification is one of the key tasks for communications systems monitoring, management,...

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects.

A convolutional neural network (CNN) is one of the most significant networks in the deep learning fi...

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study.

This study introduces an experimental paradigm for a usability test of emerging technologies in a ma...

Audit lead selection and yield prediction from historical tax data using artificial neural networks.

Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairnes...

Novel approaches utilizing robotic navigational bronchoscopy: a single institution experience.

The effective biopsy of pulmonary nodules is crucial to early diagnosis and consequent effective tre...

Improving the accuracy of single-trial fMRI response estimates using GLMsingle.

Advances in artificial intelligence have inspired a paradigm shift in human neuroscience, yielding l...

Browse Categories