Tuberculosis (TB) is an infectious disease that has been a major menace to human health
globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are an arch …

There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …

Whether the utilization of artificial intelligence (AI) during the interpretation of chest
radiographs (CXRs) would affect the radiologists' workload is of particular interest …

Purpose To assess experience with and perceptions of clinical application of artificial
intelligence (AI) to chest radiographs among doctors in a single hospital. Materials and …

Chest X-ray (CXR) is one of the most common radiological examinations for both
nonemergent and emergent clinical indications, but human error or lack of prioritization of …

Purpose Detection of early lung cancer using chest radiograph remains challenging. We
aimed to highlight the benefit of using artificial intelligence (AI) in chest radiograph with …

Aims and objectives: To examine the nature and use of automation in contemporary clinical
information systems by reviewing studies reporting the implementation and evaluation of …

Abstract Machine learning is a powerful tool that can be used to solve a wide range of
problems in various applications and industries. The healthcare sector has faced specific …

Purpose This multicenter retrospective study aimed to investigate clinical, radiologic, and
treatment-related factors affecting survival in patients with newly diagnosed diffuse intrinsic …

Objective The clinical impact of artificial intelligence-based computer-aided detection (AI-
CAD) beyond diagnostic accuracy remains uncertain. We aimed to investigate the influence …