Background/Objectives: Artificial intelligence (AI) has evolved from early diagnostic expert systems to advanced generative models, such as GPT-4, which are increasingly being used in healthcare. Concerns persist regarding inaccuracies and input dependency. This study aimed to deliver initial insights into whether gender influences the interaction of medical professionals with generative AI. Methods: This analysis investigated gender differences in medical students’ and physicians’ interactions with ChatGPT-4 while researching occupational medicine cases in a randomized controlled study. Participants assessed cases involving asbestos-related disease, metal sulfate allergy, and berylliosis using ChatGPT. Inputs and outputs were evaluated for accuracy, confabulations, communication styles, and user satisfaction. Demographic data and self-assessments of occupational medicine knowledge before and after the tasks were also collected. Results: Among 27 participants (63% women, 37% men), women showed greater knowledge improvement after using ChatGPT, particularly in asbestos-related cancer identification. No significant gender differences emerged in diagnostic accuracy, reporting procedures, or satisfaction with ChatGPT. Women exhibited significantly higher self-rated competence after using the ChatGPT application, while men only showed minimal change. Input from the female participants led to more confabulations, although response accuracy remained comparable. Conclusions: This study offers the first real-world insights into the use of generative AI in occupational medicine, highlighting the importance of understanding user-dependent variability in AI-supported clinical practice and decision-making. These findings underscore the need for gender-sensitive AI literacy training in medical education, accommodating diverse interaction styles and strategies to mitigate AI-generated misinformation. Future research with larger and more diverse cohorts could provide deeper insights into the influence of gender, age, and experience on AI utilization in healthcare. Integrating gender-based interaction differences into AI training and applications may improve clinical performance and promote more equitable healthcare practices.

Background: Artificial intelligence is becoming a part of daily life and the medical field. Generative artificial intelligence models, such as GPT-4 and ChatGPT, are experiencing a surge in popularity due to their enhanced performance and reliability. However, the application of these models in specialized domains, such as occupational medicine, remains largely unexplored. Objective: This study aims to assess the potential suitability of a generative large language model, such as ChatGPT, as a support tool for medical research and even clinical decisions in occupational medicine in Germany. Methods: In this randomized controlled study, the usability of ChatGPT for medical research and clinical decision-making was investigated using a web application developed for this purpose. Eligibility criteria were being a physician or medical student. Participants (N=56) were asked to work on 3 cases of occupational lung diseases and answer case-related questions. They were allocated via coin weighted for proportions of physicians in each group into 2 groups. One group researched the cases using an integrated chat application similar to ChatGPT based on the latest GPT-4-Turbo model, while the other used their usual research methods, such as Google, Amboss, or DocCheck. The primary outcome was case performance based on correct answers, while secondary outcomes included changes in specific question accuracy and self-assessed occupational medicine expertise before and after case processing. Group assignment was not traditionally blinded, as the chat window indicated membership; participants only knew the study examined web-based research, not group specifics. Results: Participants of the ChatGPT group (n=27) showed better performance in specific research, for example, for potentially hazardous substances or activities (eg, case 1: ChatGPT group 2.5 hazardous substances that cause pleural changes versus 1.8 in a group with own research; P=.01; Cohen r=–0.38), and led to an increase in self-assessment with regard to specialist knowledge (from 3.9 to 3.4 in the ChatGPT group vs from 3.5 to 3.4 in the own research group; German school grades between 1=very good and 6=unsatisfactory; P=.047). However, clinical decisions, for example, whether an occupational disease report should be filed, were more often made correctly as a result of the participant’s own research (n=29; eg, case 1: Should an occupational disease report be filed? Yes for 7 participants in the ChatGPT group vs 14 in their own research group; P=.007; odds ratio 6.00, 95% CI 1.54‐23.36). Conclusions: ChatGPT can be a useful tool for targeted medical research, even for rather specific questions in occupational medicine regarding occupational diseases. However, clinical decisions should currently only be supported and not made by the large language model. Future systems should be critically assessed, even if the initial results are promising.

Background/Objectives: This study aimed to evaluate and establish the incidence of all types of neurological complications at our high-volume reference center for open TAAA repair in the Netherlands and Germany. Additionally, we sought to identify predictors for various neurological complications. Methods: This retrospective study was conducted in accordance with the STROBE guidelines, with the aim of reporting neurological outcomes for all patients who underwent open thoracoabdominal aortic aneurysm repair at two centers (Maastricht-Aachen) from 2000 to 2023, and to examine the association between these outcomes and pre- and perioperative parameters. The primary endpoints of the study were all-cause mortality, spinal cord ischemia (SCI), stroke, intracerebral bleeding (ICB), critical illness polyneuropathy/myopathy (CIP/CIM), and recurrent laryngeal nerve paralysis. Results: A total of 577 patients were operated on for open TAAA repair in two centers. The total in-hospital mortality rate was 20.6%, while the elective cases in-hospital mortality rate was 14.6%. In all, 28.2% of patients experienced neurological complications. The spinal cord ischemia rate was 7.5%, intracerebral bleeding 3.6%, stroke 5.9%, critical illness polyneuropathy 3.5%, and laryngeal nerve paresis 5.7%. Crawford extent II was significantly associated with increased neurological complications (OR 2.05, 95% CI 1.39–3.03, p = 0.003), while Crawford extent III and IV were significantly associated with fewer postoperative neurological complications (OR 0.61 (0.38–0.98) p = 0.04) (OR 0.52 (0.30–0.92) p = 0.02). Preoperative ASA score > 3 (OR 1.76, 95% CI 1.16–2.67, p = 0.007), COPD (OR 1.82, 95% CI 1.19–2.78, p = 0.006), massive intraoperative transfusion (OR 1.48, 95% CI 1.01–2.17, p = 0.04), and reinterventions during hospital stay (OR 1.98, 95% CI 1.36–2.89, p < 0.001) and surgery time (p =< 0.001) were significantly associated with neurological complications. Patients with neurological complications had higher rates of other postoperative morbidities. Conclusions: Neurological complications after open TAAA repair remain a significant concern, with identified risk factors associated with increased morbidity, mortality, and resource utilization. Identifying at-risk patients could potentially lead to a reduction in neurological complications.

Summary:Background: Open thoracoabdominal aortic aneurysm (TAAA) repair is often related to significant morbidity and complications like paraplegia or acute kidney injury. Subsequently, prolonged intensive care stay is common. However, there is a lack of research on post-traumatic stress disorder (PTSD) and the perceived quality of life (QOL) in patients undergoing complex aortic procedures, such as open TAAA repair. Therefore, our study aims to determine the prevalence of PTSD and the current QOLin these patients and whether it is associated with demographic factors or complications following open thoracoabdominal aortic repair. Patients and methods: In this retrospective study, a total of 213 adult surviving patients after open thoracoabdominal aortic repair were contacted with two questionnaires one to assess PTSD and another to evaluate current QOL after open thoracoabdominal aortic repair. 61 patients returned one or both the questionnaires, and 59 patients (97%) answered all questions of the 4-item primary care PTSD section of the survey. In addition to the PTSD screening, patients were sent an SF-36 questionnaire to assess their current quality of life. 60 patients answered the SF-36 questionnaire partially or completely (98%). Results: 27% of patients (16/59) screened positive for PTSD. Electronic medical records were matched to all responding patients. Patients who were screened positive for PTSD spent more days in intensive care (OR, 1.073; 95% CI 1.02–1.13; p=0.005), had a higher frequency of tracheotomy (OR, 6.43; 95% CI 1.87–22.06; p=0.004), sepsis (OR, 5.63; 95% CI 1.56–20.33; p=0.014), as well as postoperative paraparesis (OR, 13.23; 95% CI 1.36–129.02; p=0.019). In patients with postoperative complications, a statistically significant decrease in the overall score was observed for certain categories of the SF-36. Conclusions: The prevalence of PTSD is higher, in comparison to the general population’s prevalence, and the quality of life is affected following open thoracoabdominal aortic aneurysm repair, with a significant relation to postoperative complications as well as the length of ICU stay. Further research and screening for PTSD in relation to open TAAA repair is needed to assess its role in patient QOL during follow up.

Objectives: Extent I open thoraco-abdominal aortic aneurysm repair remains essential for patients without endovascular options. This study evaluates outcomes and identifies factors associated with major adverse events. Methods: This retrospective multicentre study included all patients who underwent open extent I thoraco-abdominal aortic aneurysm repair. Major adverse events were defined as operative death, stroke, paraplegia, paraparesis, or renal failure requiring renal replacement therapy. Univariable logistic regression analysis with odds ratios (OR) and 95% confidence intervals (CI) was used to identify risk factors for operative mortality and major adverse events. Results: A total of 171 patients underwent extent I thoracoabdominal aortic aneurysm repair and were included. Emergency or urgent repair was performed in 14.6% of cases. Genetically triggered aortopathies were present in 16.5% of patients. In-hospital mortality occurred in 14.6%, with major adverse events in 23.3%. Stroke occurred in 4.6%, paraplegia in 2.9%, paraparesis in 5.2%, and permanent dialysis in 4.0%. Risk factors for operative mortality identified by univariable analysis included increasing age (OR, 1.074; 95% CI, 1.026-1.124) and previous myocardial infarction (MI) (OR, 5.920; 95% CI, 1.964-17.841). Factors associated with major adverse events included increasing age (OR, 1.053; 95% CI, 1.020-1.088), coronary artery disease (OR, 3.065; 95% CI, 1.274-7.376), previous MI (OR, 5.931; 95% CI, 2.012-17.488), and history of coronary artery bypass grafting (OR, 5.192; 95% CI, 1.161-23.223). Postoperative complications significantly associated with adverse outcomes included tracheostomy, ARDS, sepsis, and cardiac complications. The reintervention rate post-discharge was 15.8%. An overall 58.6% 5-year survival and 65.7% survival at 5 years following elective surgical repair were found. Conclusions: Extent I open thoraco-abdominal aortic aneurysm repair, while carrying significant risks of morbidity and mortality, is an established treatment for a subset of patients with no endovascular alternatives, with adequate long-term survival and low aortic reintervention rate during follow-up.