Bibliometric analysis of the Acta Orthopaedica et Traumatologica Turcica from 2013 to 2022.

Objective: This study aimed to analyze the original articles published in Acta Orthopaedica et Traumatologica Turcica (AOTT) between 2013 and 2022 using bibliometric methods to identify their characteristics and examine the changing trends over the last 10 years.

Methods: The articles were analyzed in terms of publication year, authors, countries, affiliations, citations, study design, subspecialty of orthopedics, sample size, study outcome, presence of statistical methods, time elapsed from submission date to acceptance date, and presence of funding. Periods (2003-2012 and 2013-2022) were compared for trend analysis in the journal.

The 100 most cited articles in artificial intelligence related to orthopedics.

Background: This bibliometric study aimed to identify and analyze the top 100 articles related to artificial intelligence in the field of orthopedics.

Methods: The articles were assessed based on their number of citations, publication years, countries, journals, authors, affiliations, and funding agencies. Additionally, they were analyzed in terms of their themes and objectives.

Comparison of artificial intelligence algorithm for the diagnosis of hip fracture on plain radiography with decision-making physicians: a validation study.

Objective: This study aimed to compare an algorithm developed for diagnosing hip fractures on plain radiographs with the physicians involved in diagnosing hip fractures.

Methods: Radiographs labeled as fractured (n=182) and non-fractured (n=542) by an expert on proximal femur fractures were included in the study. General practitioners in the emergency department (n=3), emergency medicine (n=3), radiologists (n=3), orthopedic residents (n=3), and orthopedic surgeons (n=3) were included in the study as the labelers, who labeled the presence of fractures on the right and left sides of the proximal femoral region on each anteroposterior (AP) plain pelvis radiograph as fractured or non-fractured.

Factors affecting lifespan following below-knee amputation in diabetic patients.

Introduction: Untreatable foot problems in diabetics may require lower extremity amputation, which has a high level of patient mortality. This high mortality rate is worse than most malignancies. The present study aimed to identify parameters that can be used to estimate survival in DM patients undergoing below-knee amputations for diabetic foot problems.