The COVID-19 pandemic generated research interest in automated models to perform
classification and segmentation from medical imaging of COVID-19 patients, However …

Advances in research give credence to the promise that has built up in recent times around
artificial intelligence (AI) applications in medical imaging. To completely realize this promise …

This work describes the development and real-world deployment of a deep learning-based
AI system for evaluating canine and feline radiographs across a broad range of findings and …

Introduction Preoperative evaluation of the mitotic index (MI) of gastrointestinal stromal
tumors (GISTs) represents the basis of individualized treatment of patients. However, the …

Dr Krupinski is a professor and vice chair for research at Emory University in the
Departments of Radiology and Imaging Sciences, Psychology and Medical Informatics. She …

We aim to conduct a meta-analysis on studies that evaluated the diagnostic performance of
artificial intelligence (AI) algorithms in the detection of primary bone tumors, distinguishing …

The existing international system is being questioned as never before as it faces new
developments and challenges. New emerging technologies, such as artificial intelligence …

Background Before the advent of automatism in image-making practices, scientists,
anatomists, and physicians artistically depicted simplified images for scientific atlas making …

Artificial intelligence's (AI) learning, reasoning, problem-solving, and perception features
have given a new horizon to the modern healthcare infrastructure. AI is demonstrating best …

Digital tools provide a broader view of patients' health through access to data and provide
greater control over patients' health. Digital health offers real opportunities to improve …