Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

Artificial intelligence in medicine has made dramatic progress in recent years. However,
much of this progress is seemingly scattered, lacking a cohesive structure for the discerning …

Abstract Machine learning (ML) has the potential to improve the dermatologist's practice
from diagnosis to personalized treatment. Recent advancements in access to large datasets …

Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …

Over the past few years, we have seen fundamental breakthroughs in core problems in
machine learning, largely driven by advances in deep neural networks. At the same time, the …

Hospitals, especially their emergency services, receive a high number of wrist fracture
cases. For correct diagnosis and proper treatment of these, images obtained from various …

Digital radiography is one of the most common and cost-effective standards for the diagnosis
of bone fractures. For such diagnoses expert intervention is required which is time …

Objective To assess the diagnostic performance of a deep learning-based algorithm for
automated detection of acute and chronic rib fractures on whole-body trauma CT. Materials …

In recent years, artificial intelligence (AI) has been progressively merging into the daily
practice of many healthcare professionals. Radiology is a branch of medicine that can …

Deep learning is one of the most exciting new areas in medical imaging. This review article
provides a summary of the current clinical applications of deep learning for lesion detection …