Clinical Trials

Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network.

Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with 6 independent dermatologists. The secondary aim was to address which clinical and dermoscopic features dermatologists found to be suggestive of invas...

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 sphincter (AUS) implantation surgery for female patients with severe stress urinary incontinences (SUI) by performing a systematic literature review.

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

Ever Since, pharmaceutical companies are facing challenges to develop new drug products faster and economical with good quality, safety and efficacy. ...

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 the risk grade of these events can effectively preve...

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 learning (ML) is rapidly evolving. Submission of AI/M...

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 number of private cars in society is increasing yearly,...

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 traffic safety management and the development of s...

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 enthusiasm for their promise in healthcare. Despite th...

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 because of poor ergonomic positions, which could be red...

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 suitable biomarker to allow for phase 2 clinical trials ...

Assessing the efficacy of dissection gestures in robotic surgery.

Our group previously defined a dissection gesture classification system that deconstructs robotic tissue dissection into its most elemental yet meanin...

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 urinary continence (UC) after robot-assisted radical p...

Re: James W.F. Catto, Pramit Khetrapal, Federico Ricciardi, et al. 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. JAMA 2022;327:2092-103.

A Comprehensive Assessment of Cultivation Environment of Top Innovative High-Level Talents Based on Deep Learning Algorithm.

The quality of talent has increased across all fields due to the constant growth of different industries and the growing job saturation. Real-time job...

Effect and safety of diluted vasopressin injection on bleeding during robot-assisted laparoscopic myomectomy: a protocol for a randomised controlled pilot trial.

INTRODUCTION: Even though the injection of diluted vasopressin into the uterus is expected to reduce intraoperative bleeding with decreased adverse ef...

Reply to Bernardo Rocco and Maria Chiara Sighinolfi's Letter to the Editor re: James W.F. Catto, Pramit Khetrapal, Federico Ricciardi, et al. 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. JAMA 2022;327:2092-103: Lacking the Evidence for Neobladder Use After Radical Cystectomy.

Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial.

BACKGROUND: Robot-assisted gait training (RAGT) is a practical treatment that can complement conventional rehabilitation by providing high-intensity r...

Deformation Analysis and Research of Building Envelope by Deep Learning Technology under the Reinforcement of the Diaphragm Wall.

The safety analysis of underground buildings is the most crucial problem in the construction industry. This work aims to optimize the safety analysis ...

Key Information Extraction of Food Environmental Safety Criminal Judgment Documents Based on Deep Learning.

Food has an impact on everyone's daily life, the long-term stability of the nation, human survival and development, people's lives and health, and the...

A SuperLearner Approach to Predict Run-In Selection in Clinical Trials.

A critical early step in a clinical trial is defining the study sample that appropriately represents the target population from which the sample will ...