Artificial intelligence (AI) has emerged in orthopedics with the potential to improve diagnostic accuracy, optimize surgical workflows, and support personalized care. We conducted a narrative review exploring the bioethical considerations of AI use in the orthopedic clinical setting, focusing on 4 core principles—autonomy, beneficence, nonmaleficence, and justice—to provide orthopedists with a practical framework for AI’s implementation. We utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework to conduct a comprehensive PubMed search; 89 articles were evaluated and 23 met our inclusion criteria. Across these studies, bioethical considerations for the clinical implementation of AI tools consistently emerged, most commonly concerning privacy, bias, transparency, informed consent, and regulation. We offer recommendations for strengthening privacy safeguards, adopting bias mitigation strategies, improving transparency through explainable AI tools, and establishing clear regulatory frameworks with lifecycle evaluation.

Background: Early sport specialization, involving intensive focus on a single sport for greater than 8 months per year at a prepubescent age, has become increasingly common in young athletes. While early sport specialization is often regarded as essential for success, there is growing concern that the potential risks to young athletes may outweigh the perceived benefits. Although numerous studies have explored early sport specialization, there has been no summative review on the topic in regard to the comprehensive impact on outcomes in these athletes. This study aims to systematically review the literature to determine the impacts of early specialization on injury, function, performance, sport success, and psychological outcomes. Methods: A review of Medline (PubMed) was conducted to search for studies relating to early sport specialization in pediatric patients (time of specialization < 18 years old) and outcomes. Extracted information included injury outcomes with a focus on overuse injuries, functional outcomes, performance outcomes, sport success, and psychological outcomes. For studies that reported relevant statistics, p < 0.05 was considered statistically significant. All studies were described qualitatively. Results: An initial search resulted in a total of 826 studies. After applying inclusion and exclusion criteria, 93 studies were included. A total of 62,327 athletes were included in the study. The average age of study participants was 15.9 years, with an average age at specialization of 11.6 years. Early sport specialization was associated with increased risk of injury, worse functional and physical performance, decreased or no benefit to sport success, and poor psychological outcomes. Conclusions: Early sport specialization was associated with increased risk of injury and negative impacts on functional and physical performance measures. There was also no clear advantage regarding sport success. Early sport specialization was linked to harmful effects on athlete psychological well-being. Late specialization, multisport participation, and following training volume guidelines can aid in mitigating these risks.

Introduction: The effect of social drivers of health (SDOH) on readmissions and costs after total hip arthroplasty (THA) and total knee arthroplasty (TKA) is poorly understood. Policies such as the Hospital Readmissions Reduction Program have targeted overall readmission reduction, using value-based strategies to improve healthcare quality. However, the implications of SDOH on these outcomes are not yet understood. We hypothesized that the area deprivation index (ADI) as a surrogate for SDOH would markedly influence readmission rates and healthcare costs in the 90-day postprocedural period for THA and TKA. Methods: We used the 100% US fee-for-service Medicare claims data from 2019 to 2021. Patients were identified using diagnosis-related groups. Our primary outcomes included 90-day unplanned readmission after hospital discharge and cost of care, treated as “high cost” if > 1 standard deviation above the mean. The relationships between ADI and primary outcomes were estimated with logistic regression models. Results: A total of 628,399 patients were included in this study. The mean age of patients was 75.6, 64% were female, and 7.8% were dually eligible for Medicaid. After full covariate adjustment, readmission was higher for patients in more deprived areas (high Area Deprivation Index (ADI)) (low socioeconomic status (SES) group OR: 1.30 [95% confidence intervals 1.23, 1.38]). ADI was associated with high cost before adjustment (low SES group odds ratio 1.08 [95% confidence intervals 1.04, 1.11], P < 0.001), although, after adjustment, this association was lost. Discussion: This analysis highlights the effect of SDOH on readmission rates after THA and TKA. A nuanced understanding of neighborhood-level disparities may facilitate targeted strategies to reduce avoidable readmissions in orthopaedic surgery. Regarding cost, although there is some association between ADI and cost, this study may illustrate that ADI for THA and TKA is not sufficiently granular to identify the contribution of social drivers to elevated costs.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Background/Objectives: Triplane ankle fractures represent a complex fracture type in pediatric patients. These fractures can prove challenging due to the involvement of multiple fracture planes and variations in segment fragmentation. With increasing literature pertaining to the treatment of triplane fractures and the limitations of previous systematic reviews, the aim of this review is to summarize recent data on the diagnosis, treatment, and complications of pediatric triplane ankle fractures. Methods: This systematic review was conducted following PRISMA guidelines and searched five major databases up to July 2024. The inclusion criteria focused on observational studies and randomized controlled trials in pediatric triplane fractures. Case reports, cadaveric studies, and systematic reviews were excluded. Articles were screened and graded using the MINORS tool for quality assessment. Data were extracted on demographics, fracture types, treatment approaches, and outcomes. Results: A total of 34 studies met the inclusion criteria. The use of CT scans in combination with radiographs was common, and two-part fractures were the most frequently observed type. Surgical treatment, particularly open reduction with internal fixation, was preferred, while conservative surgical treatment remains under-reported. Complications were minimal, with limb length discrepancy being the most common. Conclusions: This review highlights the increased use of CT for diagnosing triplane fractures and the preference of certain surgical interventions. Conservative treatment approaches, though less studied, may offer alternatives in moderate cases. This review emphasizes the need for further research on conservative treatment outcomes, longer follow-ups, and randomized controlled trials to refine treatment strategies for this complex fracture pattern.