Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Discovery of the Lanthipeptide Curvocidin and Structural Insights into its Trifunctional Synthetase CuvL.

Lanthipeptides are ribosomally-synthesized natural products from bacteria featuring stable thioether...

Apr 2023 37014271
An ensemble of AHP-EW and AE-RNN for food safety risk early warning.

Food safety problems are becoming increasingly severe in modern society, and establishing an accurat...

Apr 2023 37099538
Artificial intelligence and real-world data for drug and food safety - A regulatory science perspective.

In 2013, the Global Coalition for Regulatory Science Research (GCRSR) was established with members f...

Apr 2023 37061083
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough partici...

Apr 2023 37041475
Comparison of Transperitoneal and Retroperitoneal Partial Nephrectomy with Single-Port Robot.

To investigate the efficacy and safety of single-port (SP) robotic transperitoneal (TP) and retrope...

Apr 2023 36800901
Blinded, randomized trial of sonographer versus AI cardiac function assessment.

Artificial intelligence (AI) has been developed for echocardiography, although it has not yet been t...

Apr 2023 37020027
Excellence in Total Worker Health® and an Interview With Dr Laura Linnan.

The National Institute of Occupational Safety and Health (NIOSH) defines as "policies, programs and...

Mar 2023 36999644
Robot-assisted Laparoscopic Pyeloplasty: Experience of a Single Pediatric Institution, Including Long-term and Safety Outcomes.

OBJECTIVE: To evaluate the efficacy and safety of robot-assisted laparoscopic pyeloplasty (RALP) and...

Mar 2023 37004846
The usefulness of artificial intelligence for safety assessment of different transport modes.

Recent research in transport safety focuses on the processing of large amounts of available data by ...

Mar 2023 36989960
Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials.

Randomized controlled trials (RCTs) play a major role in aiding biomedical research and practices. T...

Mar 2023 36961852
Dense reinforcement learning for safety validation of autonomous vehicles.

One critical bottleneck that impedes the development and deployment of autonomous vehicles is the pr...

Mar 2023 36949337
Clinical efficacy of robot-assisted subxiphoid versus lateral thoracic approach in the treatment of anterior mediastinal tumors.

BACKGROUND: The purpose of this study was to compare the perioperative efficacy and safety of da Vin...

Mar 2023 36915095
Impact of educational video on performance in robotic simulation training (TAKUMI-1): a randomized controlled trial.

The use of virtual reality for simulations plays an important role in the initial training for robot...

Mar 2023 36905486
A novel use of an artificially intelligent Chatbot and a live, synchronous virtual question-and answer session for fellowship recruitment.

INTRODUCTION: Academic departments universally communicate information about their programs using st...

Mar 2023 36906574
Computational design of clinical trials using a combination of simulation and the genetic algorithm.

Artificial intelligence (AI) has come to be used in various technological fields in recent years. Ho...

Mar 2023 36793239
Robot assisted laparoscopic radical prostatectomy with maximal urethral length preservation technique preserves penile length.

Penile shortening is a recognized but neglected side effect of prostate cancer treatment. In this st...

Mar 2023 36867324
Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial.

CONTEXT: Palliative care services are commonly provided to hospitalized patients, but accurately pre...

Feb 2023 36842541
Machine learning approaches to predict drug efficacy and toxicity in oncology.

In recent years, there has been a surge of interest in using machine learning algorithms (MLAs) in o...

Feb 2023 36936080
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