Surgery

Surveys

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

5,845 articles
Stay Ahead - Weekly Surveys research updates
Subscribe
Browse Categories
Showing 1954-1974 of 5,845 articles
JAMIP: an artificial-intelligence aided data-driven infrastructure for computational materials informatics.

Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery...

A Novel Automatic Morphologic Analysis of Eyelids Based on Deep Learning Methods.

: To propose a deep-learning-based approach to automatically and objectively evaluate morphologic ey...

Needs and Preferences of Middle-Aged and Older Adults in Taiwan for Companion Robots and Pets: Survey Study.

BACKGROUND: In recent years, robots have been considered a new tech industry that can be used to sol...

Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.

Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized ...

Estimating heterogeneous survival treatment effect in observational data using machine learning.

Methods for estimating heterogeneous treatment effect in observational data have largely focused on ...

Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild.

Surveillance cameras are being installed in many primary daily living places to maintain public safe...

UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties.

(1) Background: while there exist validated measures to assess the needs of older people, there are ...

Deep learning for chest X-ray analysis: A survey.

Recent advances in deep learning have led to a promising performance in many medical image analysis ...

Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition...

On the Ethics and Practicalities of Artificial Intelligence, Risk Assessment, and Race.

Artificial intelligence (AI) has been put forth as a potential means of improving and expediting vio...

Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set.

In the last two decades, a large number of machine-learning-based predictors for the activities of a...

Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.

Pneumothorax is a common pulmonary disease that can lead to dyspnea and can be life-threatening. X-r...

Self-Training With Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-Identification.

In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiti...

Achieving Equity with Predictive Policing Algorithms: A Social Safety Net Perspective.

Whereas using artificial intelligence (AI) to predict natural hazards is promising, applying a predi...

Validity of robotic simulation for high-stakes examination: a pilot study.

Simulation is increasingly being used to train surgeons and access technical competency in robotic s...

Potential for optimizing the perioperative care in robotic prostatectomy patients by adoption of enhanced recovery after surgery principles.

Several benefits have been reported after applying the principles of enhanced recovery after surgery...

A survey on applications of deep learning in microscopy image analysis.

Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the dynamic c...

An artificial neural network-pharmacokinetic model and its interpretation using Shapley additive explanations.

We developed a method to apply artificial neural networks (ANNs) for predicting time-series pharmaco...

Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review.

cardiovascular complications (CVC) are the leading cause of death in patients with chronic kidney d...

Predicting youth diabetes risk using NHANES data and machine learning.

Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent ...

Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey.

The identification of causal relationships between events or entities within biomedical texts is of ...

Browse Categories