A Quantitative Assessment of ChatGPT as a Neurosurgical Triaging Tool.

BACKGROUND AND OBJECTIVES: ChatGPT is a natural language processing chatbot with increasing applicability to the medical workflow. Although ChatGPT has been shown to be capable of passing the American Board of Neurological Surgery board examination, there has never been an evaluation of the chatbot in triaging and diagnosing novel neurosurgical scenarios without defined answer choices. In this study, we assess ChatGPT's capability to determine the emergent nature of neurosurgical scenarios and make diagnoses based on information one would find in a neurosurgical consult. METHODS: Thirty clinical scenarios were given to 3 attendings, 4 residents, 2 physician assistants, and 2 subinterns. Participants were asked to determine if the scenario constituted an urgent neurosurgical consultation and what the most likely diagnosis was. Attending responses provided a consensus to use as the answer key. Generative pretraining transformer (GPT) 3.5 and GPT 4 were given the same questions, and their responses were compared with the other participants. RESULTS: GPT 4 was 100% accurate in both diagnosis and triage of the scenarios. GPT 3.5 had an accuracy of 92.59%, slightly below that of a PGY1 (96.3%), an 88.24% sensitivity, 100% specificity, 100% positive predictive value, and 83.3% negative predicative value in triaging each situation. When making a diagnosis, GPT 3.5 had an accuracy of 92.59%, which was higher than the subinterns and similar to resident responders. CONCLUSION: GPT 4 is able to diagnose and triage neurosurgical scenarios at the level of a senior neurosurgical resident. There has been a clear improvement between GPT 3.5 and 4. It is likely that the recent updates in internet access and directing the functionality of ChatGPT will further improve its utility in neurosurgical triage.

Capturing the pulse: a state-of-the-art review on camera-based jugular vein assessment.

Heart failure is associated with a rehospitalisation rate of up to 50% within six months. Elevated central venous pressure may serve as an early warning sign. While invasive procedures are used to measure central venous pressure for guiding treatment in hospital, this becomes impractical upon discharge. A non-invasive estimation technique exists, where the clinician visually inspects the pulsation of the jugular veins in the neck, but it is less reliable due to human limitations. Video and signal processing technologies may offer a high-fidelity alternative. This state-of-the-art review analyses existing literature on camera-based methods for jugular vein assessment. We summarize key design considerations and suggest avenues for future research. Our review highlights the neck as a rich imaging target beyond the jugular veins, capturing comprehensive cardiac signals, and outlines factors affecting signal quality and measurement accuracy. Addressing an often quoted limitation in the field, we also propose minimum reporting standards for future studies.

Google Trends as a Resource for Informing Plastic Surgery Marketing Decisions.

BACKGROUND: Celebrities have long influenced the medical decisions of the general population. By analyzing Google search data using Google Trends, we measured the impact of highly publicized plastic surgery-related events on the interest level of the general population in specific search terms. Additionally, we investigated seasonal and geographic trends around interest in rhinoplasties, which is information that physicians and small surgical centers can use to optimize marketing decisions. METHODS: Google Trends was used to access search data histories for three separate areas of interest: Kylie Jenner and lip fillers, Joan Rivers and plastic surgery, and rhinoplasty, which were then analyzed using two-tailed, two-sample equal variance t-tests. RESULTS: The average interest level in fillers increased by 30.31 points after Kylie Jenner announced that she received Juvéderm lip injections. The interest level in plastic surgery was decreased by 21.3% the month after Joan Rivers' death. Between January 2004 and May 2017, the average interest level for rhinoplasty was significantly different in January/December (67.91 ± 20.68) and June/July (70.12 ± 18.89) from the remaining calendar months (63.58 ± 19.67). Los Angeles, New York City, and Miami showed consistently high interest levels throughout the time period, while Tulsa, OK, showed a major interest increase between 2015 to 2016 of 65 points. CONCLUSIONS: A noticeable impact was observed in both celebrity cases on search term volume, and a seasonal effect is apparent for rhinoplasty searches. As many surgeons already employ aggressive Internet marketing strategies, understanding and utilizing these trends could help optimize their investments, increase social engagement, and increase practice awareness by potential patients. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .