Surgery

Surveys

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

5,848 articles
Stay Ahead - Weekly Surveys research updates
Subscribe
Browse Categories
Showing 2248-2268 of 5,848 articles
Survey on deep learning for pulmonary medical imaging.

As a promising method in artificial intelligence, deep learning has been proven successful in severa...

Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.

Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current cl...

A Multi-Criteria Decision-Making Model for Evaluating Senior Daycare Center Locations.

Many developed and developing countries are facing an imminent population aging and rapid demographi...

Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression.

Alignment-free methods, more time and memory efficient than alignment-based methods, have been widel...

Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.

This paper investigates the global exponential synchronization problem of delayed memristive neural ...

A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices.

Teleception is defined as sensing that occurs remotely, with no physical contact with the object bei...

Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey.

Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with ...

Development of New Methods Needs Proper Evaluation-Benchmarking Sets for Machine Learning Experiments for Class A GPCRs.

New computational approaches for virtual screening applications are constantly being developed. Howe...

Automated content analysis across six languages.

Corpus selection bias in international relations research presents an epistemological problem: How d...

Assessment of factors affecting tourism satisfaction using K-nearest neighborhood and random forest models.

OBJECTIVE: This study aimed to identify factors affecting the satisfaction of tourists traveling to ...

Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial inte...

Artificial Moral Agents: A Survey of the Current Status.

One of the objectives in the field of artificial intelligence for some decades has been the developm...

Cooperation with autonomous machines through culture and emotion.

As machines that act autonomously on behalf of others-e.g., robots-become integral to society, it is...

A new deep learning-based method for the detection of gait events in children with gait disorders: Proof-of-concept and concurrent validity.

The stance and swing phases of the gait cycle are defined by foot strike (FS) and foot off (FO). Acc...

Patients' views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire.

OBJECTIVES: The patients' view on the implementation of artificial intelligence (AI) in radiology is...

SECNLP: A survey of embeddings in clinical natural language processing.

Distributed vector representations or embeddings map variable length text to dense fixed length vect...

Deep learning for pollen allergy surveillance from twitter in Australia.

BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights...

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Treating patients with major depressive disorder is challenging because it takes several months for ...

Browse Categories