Publication Rates of Poster and Podium Presentations at the American Association of Hip and Knee Surgeons Annual Meetings 2016 to 2019.

INTRODUCTION: The American Association of Hip and Knee Surgeons (AAHKS) annual meeting allows for the dissemination of research regarding hip and knee arthroplasty. The objective of this study was to provide the poster and podium publication rates from the 2016 to 2019 AAHKS annual meetings and assess the quality of meeting presentations that ultimately were published during this time period. METHODS: Posters and podium presentations from 2016 to 2019 were located through the AAHKS e-Poster and meeting archives. Presentation titles were queried on Google, Google Scholar, and PubMed. Presentation title, topic type, number of authors, degrees held by the first author, and award status were collected. For each identified full-text publication, the journal name, study type, dates of online and print publication, and journal impact factor (JIF) were also obtained. RESULTS: A total of 1,274 abstracts were presented at the 2016 to 2019 AAHKS annual meetings with an overall publication rate of 67.8% (864 of 1,274). The number of abstracts presented increased from 2016 to 2019 (P < 0.001). The median time to publication of the earliest publication medium (online or print) was 6.0 months (95% CI [confidence interval] 5.0 to 6.0). Podium presentations (4.0 months, 95% CI 3.0 to 4.0) were more likely to be published earlier than poster presentations (7.0 months, 95% CI 6.0 to 7.0) (P < 0.001) The median JIF of published abstracts was 3.3 (95% CI 3.3-3.7) with no significant difference in the mean JIF of published posters or podium presentations (3.3 ± 1.0 versus 3.3 ± 1.0, P = 0.554). The likelihood of publication was significantly higher for podium presentations (OR [odds ratio] 3.41, 95% CI 2.29 to 5.07, P < 0.001), award-winning presentations (OR 4.78, 95% CI 1.69 to 13.55, P = 0.003), and with more authors (OR 1.09, 95% CI 1.02 to 1.16, P = 0.014). DISCUSSION: This analysis demonstrates abstracts presented at the AAHKS annual meetings from 2016 to 2019 had an overall publication rate of 67.8%, with podiums (86.4%) three times as likely to be published as poster (63.6%) presentations. If selected to present at the AAHKS annual meeting, individuals can be confident that their work has a high chance of eventual publication.

Analysis of Concussions Reported in American Professional Football Injury Reports in the 2019 Through 2023 Regular Seasons.

OBJECTIVE: The National Football League (NFL) has seen increasing scrutiny regarding its management of concussions, especially following an on-field incident involving the Miami Dolphins' quarterback Tua Tagovailoa in the 2022 season. We hope to elucidate the recent trends in the diagnosis and management of concussions during the course of 5 NFL seasons from 2019 to 2023. METHODS: We queried the NFL injury reports from the 2019 through 2023 database recording players listed with concussions. The weeks missed were calculated using the NFL game logs. Players' concussions that did not occur in the games, those complicated by other injuries, and those affected by roster status were excluded. RESULTS: Searches of the NFL injury reports resulted in the identification of 664 of 692 concussions (96%) that occurred in regular season games across the 2019-2023 seasons. During the course of these 5 seasons, 31% of the players returned without missing a game, 39% of the players missed 1 game, and 30% of the players missed ≥2 games. No significant difference in the number of concussions per game or weeks missed was observed across the seasons observed. Players with concussions on teams that made the playoffs saw fewer weeks missed than those on non-playoff teams (0.86 vs. 1.37; P = 0.002). CONCLUSIONS: Since the start of the 2021 NFL season, an increasing incidence of concussions has been noted; however, there was no change observed in the number of weeks missed after the concussions. Trends in the rates of concussions across the seasons remain largely stable, despite increased scrutiny over concussions in the sport.

Evaluating ChatGPT's Capabilities on Orthopedic Training Examinations: An Analysis of New Image Processing Features.

Introduction The efficacy of integrating artificial intelligence (AI) models like ChatGPT into the medical field, specifically orthopedic surgery, has yet to be fully determined. The most recent adaptation of ChatGPT that has yet to be explored is its image analysis capabilities. This study assesses ChatGPT's performance in answering Orthopedic In-Training Examination (OITE) questions, including those that require image analysis. Methods Questions from the 2014, 2015, 2021, and 2022 AAOS OITE were screened for inclusion. All questions without images were entered into ChatGPT 3.5 and 4.0 twice. Questions that necessitated the use of images were only entered into ChatGPT 4.0 twice, as this is the only version of the system that can analyze images. The responses were recorded and compared to AAOS's correct answers, evaluating the AI's accuracy and precision. Results A total of 940 questions were included in the final analysis (457 questions with images and 483 questions without images). ChatGPT 4.0 performed significantly better on questions that did not require image analysis (67.81% vs 47.59%, p<0.001). Discussion While the use of AI in orthopedics is an intriguing possibility, this evaluation demonstrates how, even with the addition of image processing capabilities, ChatGPT still falls short in terms of its accuracy. As AI technology evolves, ongoing research is vital to harness AI's potential effectively, ensuring it complements rather than attempts to replace the nuanced skills of orthopedic surgeons.