Clinical Trials

Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

BACKGROUND: Cluster randomized trials (CRTs) are becoming an increasingly important design. However,...

Raman Spectroscopy in Open-World Learning Settings Using the Objectosphere Approach.

Raman spectroscopy, combined with machine learning techniques, holds great promise for many applicat...

Laparoscopic simple prostatectomy versus robot-assisted simple prostatectomy for large benign prostatic hyperplasia: a systematic review and meta-analysis of comparative trials.

Laparoscopic simple prostatectomy (LSP) and robot-assisted simple prostatectomy (RASP) are important...

Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov.

Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns, de...

Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety.

Collision avoidance plays a major part in the control of the wheeled mobile robot (WMR). Most existi...

Machine learning for detecting centre-level irregularities in randomized controlled trials: A pilot study.

Centralized statistical monitoring is sometimes employed as an alternative to onsite monitoring for ...

Efficacy and safety of robotic spine surgery: systematic review and meta-analysis.

BACKGROUND: Robotic surgery (RS) may offer benefits compared with freehand/conventional surgery (FS)...

Re. Effect of Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion vs Open Radical Cystectomy on 90-Day Morbidity and Mortality Among Patients with Bladder Cancer: A Randomized Clinical Trial.

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection.

In considering the need of people all over the world for high-quality food, there has been a recent ...

Analysis of Characteristic Factors of Nursing Safety Incidents in ENT Surgery by Deep Learning-Based Medical Data Association Rules Method.

It is of great significance to explore the characteristic factors of postoperative nursing safety ev...

Efficacy and Safety of Robot-assisted AUS Implantation Surgery in Treating Severe Stress Urinary Incontinence: A Systematic Review and Meta-Analysis.

OBJECTIVE: To investigate the effectiveness and safety of robot-assisted artificial urinary sphincte...

Advancing health care via artificial intelligence: From concept to clinic.

Ever Since, pharmaceutical companies are facing challenges to develop new drug products faster and e...

Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.

Coal and gas outbursts seriously threaten the mining safety of deep coal mines. The evaluation of th...

Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan.

The development of computer-aided detection (CAD) using artificial intelligence (AI) and machine lea...

Vehicle Driving Risk Prediction Model by Reverse Artificial Intelligence Neural Network.

The popularity of private cars has brought great convenience to citizens' travel. However, the numbe...

Real-time driving risk assessment using deep learning with XGBoost.

Traffic crashes typically occur in a few seconds and real-time prediction can significantly benefit ...

Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...

Ergonomic Assessment of the Surgeon's Physical Workload During Robot-Assisted Versus Standard Laparoscopy in a French Multicenter Randomized Trial (ROBOGYN-1004 Trial).

BACKGROUND: Standard laparoscopy (SL) is responsible for musculoskeletal disorders in surgeons becau...

Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.

Disability progression in multiple sclerosis remains resistant to treatment. The absence of a suitab...

Assessing the efficacy of dissection gestures in robotic surgery.

Our group previously defined a dissection gesture classification system that deconstructs robotic ti...

Impact of Early Dorsal Venous Complex Ligation on Urinary Continence Recovery after Robot-assisted Radical Prostatectomy: Results from a Phase 3 Randomized Controlled Trial.

BACKGROUND: Whether early ligation of the dorsal venous complex (DVC) might improve recovery of urin...