With the advent of Large Language Models (LLMs) like ChatGPT, the integration of Generative Artificial Intelligence (GAI) into clinical medicine is becoming increasingly feasible. This study aimed to evaluate the ability of the freely available ChatGPT-3.5 to generate complex differential diagnoses, comparing its output to case records of the Massachusetts General Hospital published in the New England Journal of Medicine (NEJM). Forty case records were presented to ChatGPT-3.5, prompting it to provide a differential diagnosis and then narrow it down to the most likely diagnosis. The results indicated that the final diagnosis was included in ChatGPT-3.5’s original differential list in 42.5% of the cases. After narrowing, ChatGPT correctly determined the final diagnosis in 27.5% of the cases, demonstrating a decrease in accuracy compared to previous studies using common chief complaints. These findings emphasize the necessity for further investigation into the capabilities and limitations of LLMs in clinical scenarios while highlighting the potential role of GAI as an augmented clinical opinion. Anticipating the growth and enhancement of GAI tools like ChatGPT, physicians and other healthcare workers will likely find increasing support in generating differential diagnoses. However, continued exploration and regulation are essential to ensure the safe and effective integration of GAI into healthcare practice. Future studies may seek to compare newer versions of ChatGPT or investigate patient outcomes with physicians integrating this GAI technology. Understanding and expanding GAI’s capabilities, particularly in differential diagnosis, may foster innovation and provide additional resources, especially in underserved areas in the medical field.

The utilization of recombinant human growth hormone therapy in pediatric populations, originally approved to treat diseases of growth hormone deficiency, has expanded to encompass a broader range of indications, leading to a threefold increase in its utilization in the last two decades. However, concerns regarding its safety, particularly those that are orthopedic in nature, have grown alongside its increasing popularity. Growth hormone usage has been reported to predispose patients to a multitude of common orthopedic conditions, including carpal tunnel syndrome, Legg–Calve–Perthes disease, little league shoulder, Osgood–Schlatter disease, osteochondritis dissecans, scoliosis, Sever’s disease, and slipped femoral capital epiphysis. The pathways by which growth hormone therapy can precipitate orthopedic pathology has been shown to be multifactorial, involving mechanisms such as hormonal changes, growth plate instability, rapid growth, and increased susceptibility to overuse injury. This review examines the orthopedic consequences of growth hormone therapy in pediatric patients by discussing these potential pathophysiologic mechanisms of injury and analyzing subsequent clinical manifestations. By examining processes underlying these complications, we highlight the need for orthopedic surveillance and management in children receiving GHT, particularly those with pre-existing musculoskeletal comorbidities or high levels of physical activity. Our findings underscore the importance of a multidisciplinary approach involving co-management by pediatricians, endocrinologists, and orthopedic surgeons to optimize safety and outcomes for these patients. Directions for future research include correlating pathophysiologic mechanisms to injury patterns, investigating long-term complications in recently approved growth hormone therapy indications, and informing clinical guidelines on the management of orthopedic injuries in this patient population.

Background: Rates of shoulder and elbow pathology are well documented among competitive baseball players in the United States; however, little is known about the prevalence of these pathologies in the Dominican Republic (DR). Purpose: To report the epidemiology of shoulder and elbow pathology among participants at a Major League Baseball scouting event in Santo Domingo, DR. Study Design: Retrospective descriptive study. Level of Evidence: 3. Methods: All pitchers and position players who attended the 2021 scouting event were reviewed. Those with complete medical history, physical examination, imaging series, and radiology reports were included. All participants underwent shoulder and elbow radiography, while pitchers also underwent magnetic resonance imaging (MRI). All pathologic findings on imaging studies were recorded and compared among position players and pitchers. Results: Seventy-five participants (average age, 17.9 years) were reviewed (42 position players, 33 pitchers); 72% and 32% had ≥1 abnormal finding on elbow and shoulder radiographs, respectively. Position players had significantly higher numbers of elbow radiographic findings compared with pitchers (81% vs 57.6%, P = 0.03) but similar numbers on shoulder radiograph (28.6% vs 33.3%, P = 0.66). Position players had high numbers of acromioclavicular separation (14.3%) and little leaguer’s shoulder (14.3%) on shoulder radiograph, with olecranon osteophytes (23.8%) and medial epicondyle nonunions (11.9%) prevalent on elbow radiograph. Pitchers had high numbers of rotator cuff pathology (93.9%), labral tears (75.8%), and Bennett lesions (51.5%). On elbow imaging, pitchers had high numbers of ulnar collateral ligament (UCL) abnormalities (81.8%), olecranon osteophytes (69.7%), osteochondral lesions (18.2%), and medial epicondyle nonunions (12.1%). Two pitchers had complete UCL disruption (6.1%), while 8 had partial tears (24.2%). Conclusion: Dominican baseball prospects had high numbers of asymptomatic shoulder and elbow pathology on imaging studies. Knowledge of the prevalence of these pathologies can guide injury prevention programs in Dominican youth baseball.

Background: Abdominal musculature injuries comprise the third most prevalent time-loss injury across professional baseball. Despite increased awareness and prevention attempts in the recent decade, the trends of these abdominal injury numbers in Major League Baseball (MLB) are not fully understood. Purposes: To update the trends in oblique and intercostal injuries, analyze the impact of these injuries based on time out of play, and identify factors that correlate with increased injury severity to help with recovery time prognostication for the sports medicine community. Study Design: Descriptive epidemiology study. Methods: Using the MLB Health and Injury Tracking System, the authors identified all abdominal and core musculature injuries that resulted in time out of play in MLB and Minor League Baseball (MiLB) between the 2011 and 2021 seasons. These were filtered for injuries that resulted in ≥1 days missed (DM) during spring training, the regular season, and postseason. A Student t test was utilized to assess for significant differences for all normally distributed values. Regression analysis was utilized for determining change over time. For all statistical comparisons, the threshold for alpha was set to P < .05. Results: During the study period between 2011 and 2021, there were 4560 total abdominal injuries among 3401 athletes. When filtered for in-season, time-loss injuries defined as spring training, regular season, and postseason, there were 2890 injuries. Of these, 1928 were oblique injuries, 453 were intercostal injuries, and 115 were rectus injuries. The number of oblique injuries each season increased for all of baseball ( P < .001), as well as for MLB ( P = .009) and MiLB ( P = .012) individually. Of the 1928 oblique injuries, 498 (26%) oblique injuries occurred at the MLB level and 1430 (74%) occurred at the MiLB level. Batting and pitching-related injuries comprised 860 (45%) and 729 (38%) oblique injuries, with a total of 18,455 DM and 20,891 DM, respectively. This corresponded to a mean of 22 DM for batting injuries and 29 DM for pitching injuries (mean difference, 7.2; 95% CI, 5.27-9.13; P < .001). Conclusion: This decade-long study on professional baseball revealed a significant increase in abdominal oblique injuries across MLB and MiLB, with the largest number of injuries observed in the 2021 season. Meanwhile, there was a significant decrease in intercostal injuries across professional baseball during these years. Such injuries continue to pose challenges, leading to substantial DM per injury and affecting players from various positions.

With the advent of Large Language Models (LLMs) like ChatGPT, the integration of AI into clinical medicine is becoming increasingly feasible. This study aimed to evaluate the ability of the freely available ChatGPT-3.5 to generate complex differential diagnoses, comparing its output to case records of the Massachusetts General Hospital published in the New England Journal of Medicine (NEJM). Forty case records were presented to ChatGPT-3.5, with prompts to provide a differential diagnosis and then narrow it down to the most likely diagnosis. Results indicated that the final diagnosis was included in ChatGPT-3.5’s original differential list in 42.5% of the cases. After narrowing, ChatGPT correctly determined the final diagnosis in 27.5% of the cases, demonstrating a decrease in accuracy compared to previous studies using common chief complaints. These findings emphasize the need for further investigation into the capabilities and limitations of LLMs in clinical scenarios, while highlighting the potential role of AI as an augmented clinical opinion. With anticipated growth and enhancements to AI tools like ChatGPT, physicians and other healthcare workers will likely find increasing support in generating differential diagnoses. However, continued exploration and regulation are essential to ensure the safe and effective integration of AI into healthcare practice. Future studies may seek to compare newer versions of ChatGPT or investigate patient outcomes with physician integration of this AI technology. By understanding and expanding AI’s capabilities, particularly in differential diagnosis, the medical field may foster innovation and provide additional resources, especially in underserved areas.