Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Background Artificial intelligence (AI) has become involved in many aspects of everyday life,
from voice-activated virtual assistants built into smartphones to global online search …

Digital medicine is a new type of medical treatment that applies modern digital information
technologies to entire medical procedures [1, 2]. Digital technologies have played a vital role …

Background Artificial intelligence (AI) has promising applications in arthroplasty. In response
to the knowledge explosion resulting from the rapid growth of publications, we applied …

Background For knee osteoarthritis, the commonly used radiology severity criteria Kellgren–
Lawrence lead to variability among surgeons. Most existing diagnosis models require …

The digital health industry is experiencing fast-paced research which can provide digital
care programs and technologies to enhance the competence of healthcare delivery …

Objective To use routine demographic and clinical data to develop an interpretable
individual-level machine learning (ML) model to diagnose knee osteoarthritis (KOA) and to …

Purpose The problems posed by trauma, fractures, and dislocations have not changed in
human history. The traumas of prehistoric persons were similar to those observed by …

Total hip arthroplasty (THA) is a widely performed surgical procedure that has evolved
significantly due to advancements in artificial intelligence (AI) and robotics. As demand for …

Background Musculoskeletal (MSK) disorders, affecting billions of people worldwide, pose
significant challenges to the healthcare system and require effective management models …