Every year physicians face an increasing demand of image-based diagnosis from patients, a
problem that can be addressed with recent artificial intelligence methods. In this context, we …

The amount of acquired radiology imaging studies grows worldwide at a rapid pace. Novel
information technology tools for radiologists promise an increase of reporting quality and as …

Automatically generating a report from a patient's Chest X-rays (CXRs) is a promising
solution to reducing clinical workload and improving patient care. However, current CXR …

Chest radiographs allow for the meticulous examination of a patient's chest but demands
specialized training for proper interpretation. Automated analysis of medical imaging has …

With the advancement in artificial intelligence (AI) based E-healthcare applications, the role
of automated diagnosis of various diseases has increased at a rapid rate. However, most of …

Recent AI developments have made it possible for AI to auto-generate content—text, image,
and sound. Highly realistic auto-generated content raises the question of whether one can …

Background The use of large language models like ChatGPT is becoming increasingly
popular in health care settings. These artificial intelligence models are trained on vast …

Background and Aims The detection rate for early gastric cancer (EGC) is unsatisfactory,
and mastering the diagnostic skills of magnifying endoscopy with narrow-band imaging (ME …

Purpose To explore the impact of different user interfaces (UIs) for artificial intelligence (AI)
outputs on radiologist performance and user preference in detecting lung nodules and …

Artificial intelligence (AI) can automate and dramatically accelerate Computer-Aided
Detection (CADe) and Computer-Aided Diagnosis (CADx) by automatically processing …