Public Health & Policy

Clinical Trials

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

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Automated treatment planning with deep reinforcement learning for head-and-neck (HN) cancer intensity modulated radiation therapy (IMRT).

To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...

Automated assessment of endometrial receptivity for screening recurrent pregnancy loss risk using deep learning-enhanced ultrasound and clinical data.

BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...

Effectiveness, pharmacokinetics, and safety of triptorelin acetate microspheres in patients with locally advanced and metastatic prostate cancer.

BACKGROUND: A newly generic microspheres, sustained-release formulation of triptorelin acetate 3.75 ...

A clinical pilot trial of an artificial intelligence-driven smart phone application of bowel preparation for colonoscopy: a randomized clinical trial.

BACKGROUND: High-quality bowel preparation is paramount for a successful colonoscopy. This study aim...

Cooperative control of self-learning traffic signal and connected automated vehicles for safety and efficiency optimization at intersections.

Cooperative control of intersection signals and connected automated vehicles (CAVs) possess the pote...

Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.

Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prev...

Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation.

Public transportation systems play a vital role in modern cities, but they face growing security cha...

Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.

Informal education via social media plays a crucial role in modern learning, offering self-directed ...

[Impact of artificial intelligence on the evolution of clinical practices in oncology: Focus on language models].

Artificial intelligence (AI) is addressing many expectations for healthcare practitioners and patien...

Target informed client recruitment for efficient federated learning in healthcare.

BACKGROUND: Modern machine learning and deep learning methods have been widely incorporated in decis...

The anesthesiologist's guide to critically assessing machine learning research: a narrative review.

Artificial Intelligence (AI), especially Machine Learning (ML), has developed systems capable of per...

Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury.

BACKGROUND: Nonsuicidal self-injury is a common health problem in adolescents and associated with fu...

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study.

BACKGROUND: Rare diseases affect millions worldwide but sometimes face limited research focus indivi...

Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time...

ChatGPT as a patient education tool in colorectal cancer-An in-depth assessment of efficacy, quality and readability.

AIM: Artificial intelligence (AI) chatbots such as Chat Generative Pretrained Transformer-4 (ChatGPT...

Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish.

In the high-stakes arena of drug discovery, the journey from bench to bedside is hindered by a daunt...

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