Artificial intelligence (AI) in medicine is a rapidly growing field. In orthopedics, the clinical
implementations of AI have not yet reached their full potential. Deep learning algorithms …

Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging
tasks, such as disease diagnosis and image reconstruction. AI applications in …

Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …

Background Pediatric fractures are challenging to identify given the different response of the
pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture …

Conventional radiography (CR) is primarily utilized for fracture diagnosis. Artificial
intelligence (AI) for CR is a rapidly growing field aimed at enhancing efficiency and …

There is a steadily increasing number of artificial intelligence (AI) tools available and cleared
for use in clinical radiological practice. Radiologists will increasingly be faced with options …

Patients with facial trauma may suffer from injuries such as broken bones, bleeding,
swelling, bruising, lacerations, burns, and deformity in the face. Common causes of facial …

Objective: To develop and test a deep learning (DL) model to distinguish acetabular
fractures (AFs) on pelvic anteroposterior radiographs (PARs) and compare its performance …

The integration of visual and textual data in medical diagnostics holds significant potential
for improving the accuracy and reliability of clinical decision-making. Classical algorithms …

Abstract» Artificial intelligence is an umbrella term for computational calculations that are
designed to mimic human intelligence and problem-solving capabilities, although in the …