Public Health & Policy

Clinical Trials

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

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TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs.

SIGNIFICANCE: Artificial intelligence (AI) has become a prominent technology in computational imagin...

Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study.

Automated skills assessment can provide surgical trainees with objective, personalized feedback dur...

Urinary Symptoms Change and Quality of Life After Robotic Radical Prostatectomy: A Secondary Analysis of a Randomized Controlled Trial.

OBJECTIVE: To present the patient-reported quality of life (QoL) outcomes from a prospective, random...

Impact of study design on adenoma detection in the evaluation of artificial intelligence-aided colonoscopy: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Randomized controlled trials (RCTs) have reported that artificial intelligence ...

Efficacy of stereotactic body radiotherapy and response prediction using artificial intelligence in oligometastatic gynaecologic cancer.

PURPOSE: We present a large real-world multicentric dataset of ovarian, uterine and cervical oligome...

Healthy cats tolerate long-term daily feeding of Cannabidiol.

Cannabidiol (CBD)-containing products are widely commercially available for companion animals, mirro...

A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial.

BACKGROUND: Up to 45.9% of polyps are missed during colonoscopy, which is the major cause of post-co...

[Implementing new interventions and indications: the possible role for real world data].

In advising the preferred therapy for the individual patient the expected results of the proposed in...

Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics.

This research introduces a conceptual framework designed to enhance worker safety and well-being in ...

Deep learning strategies with CReToNeXt-YOLOv5 for advanced pig face emotion detection.

This study underscores the paramount importance of facial expressions in pigs, serving as a sophisti...

NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation.

Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-relate...

Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study.

INTRODUCTION: In a drip-and-ship model for endovascular thrombectomy (EVT), early identification of ...

High-accuracy prediction of colorectal cancer chemotherapy efficacy using machine learning applied to gene expression data.

FOLFOX and FOLFIRI chemotherapy are considered standard first-line treatment options for colorectal...

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