The aim of our study was to evaluate the potential role of Artificial Intelligence tools like ChatGPT in patient education. To do this, we assessed both the quality and readability of information provided by ChatGPT 3.5 and 4 in relation to Anterior Cruciate Ligament (ACL) injury and treatment. ChatGPT 3.5 and 4 were used to answer common patient queries relating to ACL injuries and treatment. The quality of the information was assessed using the DISCERN criteria. Readability was assessed with the use of seven readability formulae: the Flesch–Kincaid Reading Grade Level, the Flesch Reading Ease Score, the Raygor Estimate, the SMOG, the Fry, the FORCAST, and the Gunning Fog. The mean reading grade level (RGL) was compared with the recommended 8th-grade reading level, the mean RGL among adults in America. The perceived quality and mean RGL of answers given by both ChatGPT 3.5 and 4 was also compared. Both ChatGPT 3.5 and 4 yielded DISCERN scores suggesting “good” quality of information, with ChatGPT 4 slightly outperforming 3.5. However, readability levels for both versions significantly exceeded the average 8th-grade reading level for American patients. ChatGPT 3.5 had a mean RGL of 18.08, while the mean RGL of ChatGPT 4 was 17.9, exceeding the average American reading grade level by 10.08 grade levels and 9.09 grade levels, respectively. While ChatGPT can provide both reliable and good quality information on ACL injuries and treatment options, the readability of the content may limit its utility. Additionally, the consistent lack of source citation represents a significant area of concern for patients and clinicians alike. If AI is to play a role in patient education, it must reliably produce information which is accurate, easily comprehensible, and clearly sourced.

Objective: This study aimed to evaluate the quality and readability of information generated by ChatGPT versions 3.5 and 4 concerning platelet-rich plasma (PRP) therapy in the management of knee osteoarthritis (OA), exploring whether large language models (LLMs) could play a significant role in patient education. Design: A total of 23 common patient queries regarding the role of PRP therapy in knee OA management were presented to ChatGPT versions 3.5 and 4. The quality of the responses was assessed using the DISCERN criteria, and readability was evaluated using six established assessment tools. Results: Both ChatGPT versions 3.5 and 4 produced moderate quality information. The quality of information provided by ChatGPT version 4 was significantly better than version 3.5, with mean DISCERN scores of 48.74 and 44.59, respectively. Both models scored highly with respect to response relevance and had a consistent emphasis on the importance of shared decision making. However, both versions produced content significantly above the recommended 8th grade reading level for patient education materials (PEMs), with mean reading grade levels (RGLs) of 17.18 for ChatGPT version 3.5 and 16.36 for ChatGPT version 4, indicating a potential barrier to their utility in patient education. Conclusions: While ChatGPT versions 3.5 and 4 both demonstrated the capability to generate information of moderate quality regarding the role of PRP therapy for knee OA, the readability of the content remains a significant barrier to widespread usage, exceeding the recommended reading levels for PEMs. Although ChatGPT version 4 showed improvements in quality and source citation, future iterations must focus on producing more accessible content to serve as a viable resource in patient education. Collaboration between healthcare providers, patient organizations, and AI developers is crucial to ensure the generation of high quality, peer reviewed, and easily understandable information that supports informed healthcare decisions.

Introduction: Knee osteoarthritis (OA) significantly impacts the quality of life of those afflicted, with many patients eventually requiring surgical intervention. While Total Knee Arthroplasty (TKA) is common, it may not be suitable for younger patients with unicompartmental OA, who might benefit more from High Tibial Osteotomy (HTO). Effective patient education is crucial for informed decision-making, yet most online health information has been found to be too complex for the average patient to understand. AI tools like ChatGPT may offer a solution, but their outputs often exceed the public's literacy level. This study assessed whether a customised ChatGPT could be utilized to improve readability and source accuracy in patient education on Knee OA and tibial osteotomy.Methods: Commonly asked questions about HTO were gathered using Google's “People Also Asked” feature and formatted to an 8th-grade reading level. Two ChatGPT-4 models were compared: a native version and a fine-tuned model (“The Knee Guide”) optimized for readability and source citation through Instruction-Based Fine-Tuning (IBFT) and Reinforcement Learning from Human Feedback (RLHF). The responses were evaluated for quality using the DISCERN criteria and readability using the Flesch Reading Ease Score (FRES) and Flesch-Kincaid Grade Level (FKGL).Results: The native ChatGPT-4 model scored a mean DISCERN score of 38.41 (range 25–46), indicating poor quality, while “The Knee Guide” scored 45.9 (range 33–66), indicating moderate quality. Cronbach's Alpha was 0.86, indicating good interrater reliability. “The Knee Guide” achieved better readability with a mean FKGL of 8.2 (range 5–10.7, ±1.42) and a mean FRES of 60 (range 47–76, ±7.83), compared to the native model's FKGL of 13.9 (range 11–16, ±1.39) and FRES of 32 (range 14–47, ±8.3). These differences were statistically significant (p < 0.001).Conclusions: Fine-tuning ChatGPT significantly improved the readability and quality of HTO-related information. “The Knee Guide” demonstrated the potential of customized AI tools in enhancing patient education by making complex medical information more accessible and understandable.

Background: COVID-19 has placed a huge burden on healthcare systems which has led to widespread cancellation elective surgical care. Ireland is recovering from the first wave of COVID-19 and as such the expeditious return of elective surgical care is important. This is the first study to examine the attitudes of patients to undergoing total joint arthroplasty during the COVID-19 crisis. Methods: A prospective qualitative study was undertaken in our institution during the week 13/05/2020-20/05/2020. 65 patients completed a questionnaire assessing attitudes, awareness, and behavioral changes associated with COVID-19, a Charlson Comorbidity Index, modified-Harris Hip Score, and a Short Form-12 score. Results: 86% of patients felt that they were at little to no risk of COVID-19 infection. The majority of patients were happy to proceed with surgery at the current level of COVID-19 related threat (86%). Patients with higher mHHS were more likely to postpone their operation than those with lower mHHS scores. Our cohort had low patient reported outcome measures in both mHHS and SF-12, indicating the significant burden of hip osteoarthritis on both physical and mental health. Conclusion: Patients reported a significant disease-related impairment of physical function and subsequent deterioration in mental health as a result of hip osteoarthritis. Patients with worse hip function, as measured by the mHHS are more willing to proceed with surgery than those with superior hip function. This offers a potential mechanism by which to triage patients once elective surgical pathways reopen in the coming months.

Introduction: The radiographical assessment of patella height has historically been performed using X-Ray. The aim of this study was to evaluate a new method for the assessment of patella height using MRI and to assess the correlation with the X-Ray based assessment. Materials and methods: 159 patients who had both lateral radiographs and MRI images were included. Parameters measured included traditional radiographical CDI, MRI-based CDI, and TT-TG distance. On the basis of the TT-TG, the patients were divided into 2 groups. Two different methods were used to assess CDI using MRI: using a single slice image, and an alternative technique using two different cross-sectional images. The correlation of the two measurement methods was assessed using Pearson’s correlation coefficient. The intraclass correlation coefficient (ICC) was determined from the measurements of the two investigators. Results: The average TT-TG distance was 11.6 mm (± 4.6). In patients with a TT-TG < 15 mm, both measurement methods showed comparable correlation with measurements on X-Ray. In patients with a TT-TG of > 15 the the new cross-sectional imaging method showed higher correlation with traditional X-Ray assessment compared to CDI assessment using the traditional single slice method (r = 0.594, p < 0.001 vs. r = 0.302, p = 0.055). Conclusions: The assessment of CDI on MRI using a cross-sectional imaging method has a better correlation with traditional X-Ray assessment of CDI than single-slice assessment. This is particularly true in patients with elevated TT-TG and as such should be preferentially used in the assessment of Patellar height in this cohort.

Purpose: This study aimed to evaluate the clinical and functional outcomes of autologous bone grafting with spheroid‐based matrix‐induced autologous chondrocyte implantation (MABCI) for osteochondral defects of the knee by analysing pre‐ and postoperative patient‐reported outcome measures (PROMs). Postoperative gait analysis was conducted and compared with a matched healthy control group to investigate biomechanical deviations.Methods: A total of 35 patients (m: 21, f: 14; mean defect size: 4.2 ± 2.4 cm², localisation: femoral condyle: 31, patellofemoral: 5) were analysed. The mean follow‐up was 42.6 ± 22.8 months. International Knee Documentation Committee (IKDC), Knee Injury and Osteoarthritis Outcome Score (KOOS), PROMIS 29 profile, and a questionnaire on patient perception of treatment success were assessed to evaluate PROMs. 3D‐instrumented gait analysis (GRAIL, Motek) was used to assess lower extremity kinematics, kinetics and vertical ground reaction forces, compared to sex‐, age‐ and body mass index‐matched healthy controls.Results: All clinical scores showed significant improvement compared to the preoperative condition (IKDC: 73.1 ± 10.1 vs. 56.6 ± 17.2, p < 0.01; KOOS subcategories: pain 82.0 [±12.7] vs. 70.7 [±16.7] [p < 0.01], symptoms 79.1 [±20.3] vs. 68.9 [±13.9] [p < 0.01], activities of daily living 90.1 [±11.2] vs. 80.5 [±15.6] [p < 0.01], sport and recreational function: 65.3 [±19.3] vs. 51.3 [±26.29] [p < 0.01], quality of life 52.2 [±18.6] vs. 42.6 [±18.6] [p < 0.01]; numeric pain rating scale: 2.7 ± 2.0 vs. 5.0 ± 2.5, p < 0.01). The analysed patients reported a high satisfaction rate (94.3%). Self‐selected walking speed was significantly lower than in healthy controls (1.17 ± 0.17 m/s vs. 0.98 ± 0.18 m/s, p < 0.01). Peak knee flexion angle (PKA) during loading response was significantly smaller (9.6° ± 7.0 vs. 17.7° ± 4.6, p < 0.01), and knee extension moment was significantly reduced (0.1 Nm/kg ± 0.2 vs. 0.4 Nm/kg ± 0.2, p < 0.01).Conclusion: MABCI is an effective treatment for osteochondral knee defects, showing significant improvements in all evaluated PROMs. Postoperative gait analysis revealed abnormal gait patterns, including reduced PKA and lower knee extension moment, suggesting a need for further rehabilitation to optimise functional recovery.Level of Evidence: Level III.