Clinical Trials

The efficacy of robot-assisted training for patients with upper limb amputations who use myoelectric prostheses: a randomized controlled pilot study.

The aim of this pilot study was to investigate whether a movement therapy robot can improve skills i...

Hazards for the Implementation and Use of Artificial Intelligence Enabled Digital Health Interventions, a UK Perspective.

BACKGROUND: Artificial Intelligence (AI) has seen an increased application within digital healthcare...

Deepfake detection by human crowds, machines, and machine-informed crowds.

The recent emergence of machine-manipulated media raises an important societal question: How can we ...

Electronic surveillance of patient safety events using natural language processing.

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital...

Machine Learning for In Silico ADMET Prediction.

ADMET (absorption, distribution, metabolism, excretion, and toxicity) describes a drug molecule's ph...

Artificial Intelligence in Drug Safety and Metabolism.

The use of artificial intelligence methods in drug safety began in the early 2000s with applications...

Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical Trial.

BACKGROUND: Compensatory aids can help mitigate the impact of progressive cognitive impairment on da...

Trial Approach for Biomedical Products: A Regulatory Perspective.

The modern pharmaceutical industry is transitioning from traditional methods to advanced technologie...

A systematic review on natural language processing systems for eligibility prescreening in clinical research.

OBJECTIVE: We conducted a systematic review to assess the effect of natural language processing (NLP...

Realizing the Power of Text Mining and Natural Language Processing for Analyzing Patient Safety Event Narratives: The Challenges and Path Forward.

Patient safety event (PSE) reports are a useful lens to understand hazards and patient safety risks ...

Effectiveness and safety of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil fumarate single-tablet combination among HIV-infected patients in Turkey: results from a real world setting.

BACKGROUND: Efficacy of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil (E/C/F/TDF) in tr...

Efficacy and safety of carboplatin with nab-paclitaxel versus docetaxel in older patients with squamous non-small-cell lung cancer (CAPITAL): a randomised, multicentre, open-label, phase 3 trial.

BACKGROUND: In Japan, docetaxel, a cytotoxic monotherapy, is the standard drug administered to older...

Author response to: Shortening surgical training through robotics: randomized clinical trial of laparoscopic versus robotic surgical learning curves.

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

The purpose of paper is to investigate the depression and anxiety as well as independent influential...

Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.

Data-driven deep learning has been considered a promising method for building powerful models for me...

[A prospective randomized controlled trial on the short-term effectiveness of domestic robot-assisted total knee arthroplasty].

OBJECTIVE: To explore the short-term effectiveness of domestic robot-assisted total knee arthroplast...

RoBoT: a robust Bayesian hypothesis testing method for basket trials.

A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment i...

Efficacy and safety of a switch from twice-daily tacrolimus to once-daily generic tacrolimus in stable liver transplant patients.

BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However...

Preventing dataset shift from breaking machine-learning biomarkers.

Machine learning brings the hope of finding new biomarkers extracted from cohorts with rich biomedic...

Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event d...

Randomized Self-Organizing Map.

We propose a variation of the self-organizing map algorithm by considering the random placement of n...