The number of patients with bone metastasis increases as medical management and
surgery improve the overall survival of patients with cancer. Bone metastasis can cause …

Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in
particular, have the potential to change the scope of healthcare, including orthopaedic …

Simple Summary Bone metastases represent a serious and common challenge in advanced
cancer patients, making early detection crucial. The growing implementation of artificial …

Purpose This study sought to develop models with good identification for adverse outcomes
in patients with heart failure (HF) and find strong factors that affect prognosis. Patients and …

Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

ABSTRACT BACKGROUND CONTEXT Preoperative prediction of prolonged postoperative
opioid prescription helps identify patients for increased surveillance after surgery. The …

Purpose To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for
detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the …

The proximal femur is a common location for the development of bony metastatic disease.
Metastatic bone disease in this location can cause debilitating pain, pathologic fractures …

Limited monitoring activities to assess data on heavy metal (HM) concentration contribute to
worldwide concern for the environmental quality and the degree of toxicants in areas where …

Purpose Surgical treatment of herniated lumbar intervertebral disks is a common procedure
worldwide. However, recurrent herniated nucleus pulposus (re-HNP) may develop …