OBJECTIVE: Adolescent idiopathic scoliosis (AIS) is a common spinal deformity with varying progression, complicating treatment decisions. Artificial intelligence (AI) and machine learning (ML) are increasingly prominent in orthopedic care, aiding in diagnosis, risk-stratification, and treatment guidance. This scoping review outlines AI applications in AIS.
METHODS: This study followed PRISMA-ScR guidelines and included articles that reported the development, use, or validation of AI models for treating, diagnosing, or predicting clinical outcomes in AIS.
RESULTS: 40 full-text articles were included, with most studies published in the last 5 years (77.5%). Common ML techniques were convolutional neural networks (55%), decision trees and random forests (15%), and artificial neural networks (15%). Most AI applications in AIS were for imaging analysis (25/40; 62.5%), focusing on automatic measurement of Cobb angle, and axial vertebral rotation (13/25; 52%) and curve classification/severity (13/25; 52%). Prediction was the second most common application (15/40; 37.5%), with studies predicting curve progression (9/15; 60%), and Cobb angles (9/15; 60%). Only 15 studies (37.5%) reported clinical implementation guidelines for AI in AIS management. 52.5% of studies reported model accuracy, with an average of 85.4%.
CONCLUSIONS: This review highlights the applications of AI in AIS care, notably including automatic radiographic analysis, curve type classification, prediction of curve progression, and AIS diagnosis. However, the current lack of clear clinical implementation guidelines, model transparency, and external validation of studied models limits clinician trust and the generalizability and applicability of AI in AIS management.

BACKGROUND: The rise in popularity of ride share e-scooters has led to an increase in the number of e-scooter injuries, with existing literature reporting increases in rates of admission by more than 350%. In April 2023, the Broome Shire signed a contract to provide 300 e-scooters as part of a shared micro mobility platform. This study aimed to describe the demographics, clinical presentation and health system utilization of patients presenting with e-scooter-related injuries at Broome Regional Hospital (BRH).
METHODS: A retrospective cohort study examined all e-scooter-related injuries presenting to BRH between April 1st 2023 and April 30th 2024. Patients with e-scooter injuries described in their Emergency Department (ED) electronic triage records were included. Data was collected from chart review.
RESULTS: A total of 190 patients were identified as having sustained an e-scooter injuries over the 12-month trial period. The median age was 26 years with equal numbers of males and females. Most injuries occurred between 6 pm and 12 am (28%) with 53% of patients reporting being intoxicated, while 75% were not wearing a helmet. Almost all patients (80%) were managed in the emergency department because of the low severity of their injuries. Of the remaining patients, 22 were admitted, with 16 transferred for tertiary-level operative management.
CONCLUSIONS: The introduction of e-scooters for shared micromobility represents a new cause of trauma related presentations to BRH. Our study\'s results have raised awareness regarding the incidence and severity of electric scooter injuries in Broome.

BACKGROUND: Surgical site infection (SSI) is an important cause of disease burden and healthcare costs. Fully manual surveillance is time-consuming and prone to subjectivity and inter-individual variability, which can be partly overcome by semi-automated surveillance. Algorithms used in orthopaedic SSI semi-automated surveillance have reported high sensitivity and important workload reduction. This study aimed to design and validate different algorithms to identify patients at high risk of SSI after hip or knee arthroplasty.
METHODS: Retrospective data from manual SSI surveillance between May 2015 and December 2017 were used as gold standard for validation. Knee and hip arthroplasty were included, patients were followed up for 90 days and European Centre for Disease Prevention and Control SSI classification was applied. Electronic health records data was used to generate different algorithms, considering combinations of the following variables: ≥1 positive culture, ≥ 3 microbiological requests, antimicrobial therapy ≥ 7 days, length of hospital stay ≥ 14 days, orthopaedics readmission, orthopaedics surgery and emergency department attendance. Sensitivity, specificity, negative and predictive value, and workload reduction were calculated.
RESULTS: In total 1631 surgical procedures were included, of which 67.5% (n = 1101) in women; patients\' median age was 69 years (IQR 62 to 77) and median Charlson index 2 (IQR 1 to 3). Most surgeries were elective (92.5%; n = 1508) and half were hip arthroplasty (52.8%; n = 861). SSI incidence was 3.8% (n = 62), of which 64.5% were deep or organ/space infections. Positive culture was the single variable with highest sensitivity (64.5%), followed by orthopaedic reintervention (59.7%). Twenty-four algorithms presented 90.3% sensitivity for all SSI types and 100% for deep and organ/space SSI. Workload reduction ranged from 59.7 to 67.7%. The algorithm including ≥ 3 microbiological requests, length of hospital stay ≥ 14 days and emergency department attendance, was one of the best options in terms of sensitivity, workload reduction and feasibility for implementation.
CONCLUSIONS: Different algorithms with high sensitivity to detect all types of SSI can be used in real life, tailored to clinical practice and data availability. Emergency department attendance can be an important variable to identify superficial SSI in semi-automated surveillance.

BACKGROUND: The purpose of this study was to evaluate the perspectives of aspiring orthopaedic surgeons on artificial intelligence (AI), analysing how gender, AI knowledge, and technical inclination influence views on AI. Additionally, the extent to which recent AI advancements sway career decisions was assessed.
METHODS: A digital survey was distributed to student members of orthopaedic societies across Germany, Switzerland, and Austria. Subgroup analyses explored how gender, AI knowledge, and technical inclination shape attitudes towards AI.
RESULTS: Of 174 total respondents, 86.2% (n = 150) intended to pursue a career in orthopaedic surgery and were included in the analysis. The majority (74.5%) reported \'basic\' or \'no\' knowledge about AI. Approximately 29.3% believed AI would significantly impact orthopaedics within 5 years, with another 35.3% projecting 5-10 years. AI was predominantly seen as an assistive tool (77.8%), without significant fear of job displacement. The most valued AI applications were identified as preoperative implant planning (85.3%), administrative tasks (84%), and image analysis (81.3%). Concerns arose regarding skill atrophy due to overreliance (69.3%), liability (68%), and diminished patient interaction (56%). The majority maintained a \'neutral\' view on AI (53%), though 32.9% were \'enthusiastic\'. A stronger focus on AI in medical education was requested by 81.9%. Most participants (72.8%) felt recent AI advancements did not alter their career decisions towards or away from the orthopaedic specialty. Statistical analysis revealed a significant association between AI literacy (p = 0.015) and technical inclination (p = 0.003). AI literacy did not increase significantly during medical education (p = 0.091).
CONCLUSIONS: Future orthopaedic surgeons exhibit a favourable outlook on AI, foreseeing its significant influence in the near future. AI literacy remains relatively low and showed no improvement during medical school. There is notable demand for improved AI-related education. The choice of orthopaedics as a specialty appears to be robust against the sway of recent AI advancements.
METHODS: Cross-sectional survey study; level IV.

BACKGROUND: Reduced spinal canal anteroposterior (AP) diameter and AP-transverse diameter ratio have been linked to the development of spinal cord injury and myelopathy. Previously unpublished data has suggested Maori and Pacifica individuals may have narrower cervical spine canals than their NZ European counterparts.
OBJECTIVE: We evaluate the existence of potential differences in dimensions of the sub-axial cervical spine canal between New Zealand European, Māori and Polynesian individuals.
METHODS: A computed tomography (CT) analysis of 645 intact adult sub-axial cervical vertebrae from 129 patients.
METHODS: A total of 645 human sub-axial (C3-C7) cervical vertebrae were analysed radiographically, using 1 mm resolution CT scans to measure AP diameter, transverse diameter and AP:transverse ratio. CT data were obtained from normal trauma scans demonstrating no acute pathology. CT data was reformatted in digital software allowing multi-planar reconstruction (MPR) to increase accuracy of measurements. Statistical analysis was performed using analysis of variance (ANOVA).
RESULTS: A total of 245 vertebrae were from Māori individuals, 245 from NZ European and 155 from Polynesians. There were 455 male vertebrae and 215 female vertebrae. Statistically significant differences were found in AP canal diameter between all ethnic groups, at all spinal levels. The average cervical spine canal was around 2.5 mm narrower in Polynesians and around 1.5 mm narrower in Māori than NZ Europeans. No differences in Transverse canal diameter were observed, however statistically significant differences were found in the AP:transverse ratio at all spinal levels.
CONCLUSIONS: Our study, utilizing a normal patient cohort, confirms differences in canal dimensions between ethnic groups.
CONCLUSIONS: Ethnic variation in cervical canal dimensions as herein described, must be considered when defining and diagnosing congenital stenosis. Neglecting to account for these differences may lead to misdiagnosis of congenital stenosis in normal individuals in certain ethnic groups.

Several trends toward patient-centered multi-care models employing translational research strategies are currently emerging in orthopaedics. These align seamlessly with epigenetics discussions in pain, a clinical approach to pain management that prioritizes tailoring healthcare to individual needs, preferences, and circumstances. Recognizing the unique genetic and epigenetic factors influencing pain perception, healthcare providers can integrate personalized insights into their patient-centered approach, offering more targeted and effective pain management strategies tailored to each individual\'s experience. Custom 3D-printing technologies may also become increasingly relevant to more effectively and reliably treat painful degenerative structural abnormalities. They are expected to go hand-in-hand with the precision medicine redefinition of musculoskeletal care. More effective analysis of surgeons\' clinical decision-making and patients\' perception of high-value orthopaedic care is needed. Shared Decision Making (SDM) is critical to identifying the best solution for each patient and improving stakeholders\' understanding of factors influencing the diverse prioritizing values of surgical or non-surgical treatments by payers, systems, and other providers. Identifying high-value orthopaedic surgeries via effective SDM in orthopedic surgery requires more than just presenting patients with information. The Rasch analysis of patient expectations can provide this nuanced approach that involves understanding patient values, addressing misconceptions, and aligning surgical recommendations with patient-specific goals. Optimizing orthopaedic treatment within the patient-centered framework can drive innovation in reimbursement policies that support the field more broadly. Research on separating high-value from low-value orthopaedic procedures may likely impact healthcare decision- makers\' resource allocation.

Introduction The impact of the current economic and environmental climate, both nationally and globally, is further straining the NHS. This has led to scrutiny of high-expenditure areas, including consumables. Clinician\'s knowledge surrounding health economics is sparse, and we conducted this survey to assess cost-awareness within the Trauma and Orthopaedic (T&O) departmental staff. Methods A questionnaire was digitally distributed to T&O staff in the East Kent Hospitals Trust. This included demographic data and to make estimations of the cost of 10 specialty-specific items. The data were analysed to determine the average, median, and interquartile range (IQR) of the estimated prices and compared to the actual costs. Results Approximately 7.1% of all item estimates were deemed \'correct\'. No correlation was seen between years of staff experience and the accuracy of estimates. \'Kenalog 1 mL ampoule\' (Kenalog, Bristol-Myers Squibb, NJ) had the highest accuracy of estimation across all responses (13%), whilst both \'kirschner wires\' and \'3.2 drill bit\' had the lowest accuracy (4% each). The median estimated cost was closest to the actual cost for \'cement pack\' (median estimate/actual cost = 0.9). The median estimated cost was furthest from the actual cost for \'tourniquet cuffs\' (median estimate/actual cost = 0.16). \'Velcro wrist splint\' was the item that was the most overestimated (median estimate/actual cost = 1.57), with only two of the 10 items being overestimated (\'velcro wrist splint\' and \'dynamic hip screw and plate\'). The most underestimated item was \'tourniquet cuffs\' (median estimate/actual cost = 0.16). Conclusions There is a paucity of knowledge surrounding the cost of specialist T&O consumables. The limitations included the sample size (98 respondents) and geographical area (East Kent Hospitals Trust). This study shows that there is a need for further research into this topic, with long-term outcomes, which may be beneficial both economically and environmentally.

OBJECTIVE: Spinal fusion, vital for treating various spinal disorders, has evolved since the introduction of the minimally invasive Lateral Lumbar Interbody Fusion (LLIF) by Pimenta in 2001. Traditionally performed in the lateral decubitus position, LLIF faces challenges such as intraoperative repositioning, neurological complications, and lack of access to lower lumbar levels. These challenges lead to long surgery times, increased rates of perioperative complications, and increased costs. The more recently popularized prone lateral approach mitigates these issues primarily by eliminating patient repositioning, thereby enhancing surgical efficiency, and reducing operative times. This review examines the progression of spinal fusion techniques, focusing on the advantages and recent findings of the prone lateral approach compared to the traditional LLIF.
RESULTS: The prone lateral approach has shown improved patient outcomes, including lower blood loss and shorter hospital stays, and has been validated by multiple studies for its safety and efficacy compared to the LLIF approach. Significant enhancements in postoperative metrics, such as the Oswestry Disability Index, Visual Analog Scale, and radiological improvements have been noted. Comparatively, the prone lateral approach offers superior segmental lordosis correction and potentially better subjective outcomes than the lateral decubitus position. Despite these advances, both techniques present similar risks of neurological complications. Overall, the prone lateral approach has emerged as a promising alternative in lumbar interbody fusion, combining efficiency, safety, and improved clinical outcomes.

UNASSIGNED: Interleukin-6 (IL-6) is a cytokine released in response to tissue injury. Elevated serum IL-6 levels in trauma patients have been linked with increased risk of complications such as inapparent hypoxia (SpO2 < 94%), acute respiratory distress syndrome, fat embolism syndrome (FES), systemic inflammatory response syndrome, multiple organ dysfunction syndrome and sepsis. This study aims to determine the role of serum IL-6 as surrogate biomarker of post-operative complications after invasive orthopaedic surgeries.
UNASSIGNED: Thirty-seven adults between 18 and 65 years of age undergoing invasive orthopaedic surgeries were included in this hospital-based study. Serum IL-6 levels were estimated serially in the pre-operative period, after 24 h and 7 days post-operatively. Cases were monitored for post-operative complications.
UNASSIGNED: Serum IL-6 levels showed maximum rise in the first 24 h post-operatively especially among older patients (> 60 years). Older patients undergoing bipolar hemiarthroplasty for neck of femur fracture showed highest median post-operative IL-6 level of 258 pg/ml. Serum IL-6 level > 130 pg/ml measured 24 h after surgery was predictive of post-operative complications (sensitivity of 75%). Among the cases with post-operative complications, inapparent hypoxia was the most common complication/event observed. Cases with sub-clinical FES had highest level of serum IL-6 in first 24 h following surgery with median IL-6 level of 300 pg/ml (range 155-444 pg/ml).
UNASSIGNED: Monitoring serum IL-6 level may help in both anticipation and early detection of post-operative complications in patients undergoing invasive orthopaedic surgeries; potentially enhancing patient safety.

Effective treatment of postoperative pain lasting for multiple days without opioids is an important clinical need. We previously reported analgesia lasting up to 96 h in a porcine soft tissue model of postoperative pain using SBG004, an extended-release formulation of bupivacaine based on the temperature-responsive polymer poly(N-isopropylacrylamide-co-dimethylbutyrolactone acrylamide-co-Jeffamine M-1000 acrylamide) [PNDJ]. Orthopaedic surgical sites such as the knee can involve complex sensory innervation which presents a distinct challenge to local anesthetic delivery. The purpose of this work was to evaluate the pharmacokinetics and efficacy of SBG004 in an orthopaedic surgical model in comparison to currently available local anesthetics. Pharmacokinetics following periarticular (PA) or intraarticular (IA) injection of SBG004 were compared against liposomal bupivacaine (Lip-Bupi) PA in New Zealand White rabbits (all doses 14.5 mg/kg). Analgesic efficacy of SBG004 (IA, PA, or IA + PA), three active comparators, and saline was evaluated following knee surgery in New Zealand White rabbits. Analgesia was assessed via weight-bearing on the operated limb during spontaneous large steps in video recordings. Systemic bupivacaine exposure lasted at least 7 days for SBG004 PA, 4 days for SBG004 IA, and 2 days for Lip-Bupi PA. In the analgesia study, weight-bearing in all active groups except SBG004 IA was more frequent versus saline through 8 h postoperatively (p < 0.05). Only SBG004 IA + PA resulted in a higher proportion of weight-bearing rabbits at 24 h versus saline (6/7 versus 2/10, p = 0.015). Analysis of pooled data from 24-72 h showed significantly greater frequency of weight-bearing in rabbits receiving SBG004 IA + PA (71%) versus saline (37%), ropivacaine cocktail (41%), and Lip-Bupi PA (36%). The results indicate that the release profile from SBG004 PA or IA coincides reasonably with the time course of postoperative pain, and SBG004 may produce longer duration of analgesia than local anesthetics currently used in knee surgery, including during the period of 24-72 h recognized as a target for extended-release local anesthetics.