Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly data completeness, collected through spontaneous reporting systems (SRS), although regulatory agencies routinely use SRS data to guide their pharmacovigilance programs. We expected that collecting additional drug safety information from adverse event (ADE) narratives and incorporating it into the SRS ...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transforming everything from data capture to report generation. In the field of echocardiography, AI offers the potential to enhance accuracy, speed up reporting, and reduce the workload of physicians. This is an advantage because, compared to computed tomography and magnetic resonance imaging, echocardiog...
Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are gr...
Standardized and thorough model reporting is an integral component in the development and deployment of machine learning models in health care. Model ...
PURPOSE: Artificial intelligence (AI) is rapidly reshaping how radiology is practiced. Its susceptibility to biases, however, is a primary concern as ...
Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix for...
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing, reading precision and advantages of automation. C...
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision-making. However, applications in di...
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such as machine learning in image analysis, natural lang...
In recent years, the well-being impact assessment approach has been applied in the area of Artificial Intelligence (AI). Existing well-being framework...
Large language models (LLMs) such as ChatGPT are advanced artificial intelligence models that are designed to process and understand human language. L...
OBJECTIVES: We evaluated the presence and frequency of spin practices and poor reporting standards in studies that developed and/or validated clinical...
Background Automated interpretation of normal chest radiographs could alleviate the workload of radiologists. However, the performance of such an arti...
BACKGROUND AND AIMS: EGD is essential for GI disorders, and reports are pivotal to facilitating postprocedure diagnosis and treatment. Manual report g...
. There is a growing number of publications on the application of unpaired image-to-image (I2I) translation in medical imaging. However, a systematic ...
Medical device reliability is the ability of medical devices to endure functioning and is indispensable to ensure service delivery to patients. Prefer...
Sentiment analysis refers to the mining of textual context, which is conducted with the aim of identifying and extracting subjective opinions in textu...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespread use has been instrumental in ensuring transpare...
PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released guideline designed for the optimal reporting meth...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the mi...