Clinical Trials

Initial experience of a single surgeon for safety and feasibility of the Versius Robotic System in robot-assisted cholecystectomy and hernia repair.

This study aimed to evaluate the feasibility, safety, and perioperative outcomes of cholecystectomy ...

Prioritization of control measures in leakage scenario using Hendershot theory and FBWM-TOPSIS.

Currently, there is increasing concern about the safety and leakage of process industries. Therefore...

Identification of the best machine learning model for the prediction of driver injury severity.

Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key top...

Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy.

Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and...

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust.

The first step toward investigating the effectiveness of a treatment via a randomized trial is to sp...

Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients.

The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for sign...

A systematic review of robotic efficacy in coral reef monitoring techniques.

Coral reefs are home to a variety of species, and their preservation is a popular study area; howeve...

Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions.

To assess the impact of a deep learning (DL) denoising reconstruction algorithm applied to identical...

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot.

Robotic surgery offers potential advantages over laparoscopic procedures, but the training for confi...

The efficacy of artificial intelligence (AI) in detecting interval cancers in the national screening program of a middle-income country.

AIM: We aimed to investigate the efficiency and accuracy of an artificial intelligence (AI) algorith...

Electrophysiological and Visual Parameter Changes in Retinitis Pigmentosa Patients undergoing Autologous Platelet-Rich Plasma Therapy: A Randomized Control Trial.

PURPOSE: To assess the efficacy of autologous platelet-rich plasma (PRP) injections in suprachoroida...

Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett's esophagus: a tandem randomized and video trial.

BACKGROUND: This study evaluated the effect of an artificial intelligence (AI)-based clinical decisi...

Automatic categorization of self-acknowledged limitations in randomized controlled trial publications.

OBJECTIVE: Acknowledging study limitations in a scientific publication is a crucial element in scien...

Minimally invasive cytoreductive radical prostatectomy, exploring the safety and feasibility of a single-port or multi-port robotic platform.

BACKGROUND: Consolidative resection or cytoreductive radical prostatectomy (CRP) may benefit men wit...

Research on helmet wearing detection method based on deep learning.

The vigorous development of the construction industry has also brought unprecedented safety risks. T...

Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital tr...

Machine learning framework develops neutrophil extracellular traps model for clinical outcome and immunotherapy response in lung adenocarcinoma.

Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging stu...

Dr. Google vs. Dr. ChatGPT: Exploring the Use of Artificial Intelligence in Ophthalmology by Comparing the Accuracy, Safety, and Readability of Responses to Frequently Asked Patient Questions Regarding Cataracts and Cataract Surgery.

PURPOSE: Patients are using online search modalities to learn about their eye health. While Google r...

Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline.

Building clinical registries is an important step in clinical research and improvement of patient ca...

Comparison of Conventional Anesthesia Nurse Education and an Artificial Intelligence Chatbot (ChatGPT) Intervention on Preoperative Anxiety: A Randomized Controlled Trial.

PURPOSE: This study aimed to evaluate the effects of an artificial intelligence (AI) chatbot (ChatGP...

Quality and safety of artificial intelligence generated health information.