TY  - JOUR
AB  - INTRODUCTION: The emergence of large language models heralds a new chapter in natural language processing, with immense potential for improving medical care and especially medical oncology. One recent and publicly available example is Generative Pretraining Transformer 4 (GPT-4). Our objective was to evaluate its ability to rephrase original surgical reports into simplified versions that are more comprehensible to patients. Specifically, we aimed to investigate and discuss the potential, limitations, and associated risks of using these simplified reports for patient education and information in gynecologic oncology. MATERIAL AND METHODS: We tasked GPT-4 with generating simplified versions from n = 20 original gynecologic surgical reports. Patients were provided with both their original report and the corresponding simplified version generated by GPT-4. Alongside these reports, patients received questionnaires designed to facilitate a comparative assessment between the original and simplified surgical reports. Furthermore, clinical experts evaluated the artificial intelligence (AI)-generated reports with regard to their accuracy and clinical quality. RESULTS: The simplified surgical reports generated by GPT-4 significantly improved our patients' understanding, particularly with regard to the surgical procedure, its outcome, and potential risks. However, despite the reports being more accessible and relevant, clinical experts highlighted concerns about their lack of medical precision. CONCLUSIONS: Advanced language models like GPT-4 can transform unedited surgical reports to improve clarity about the procedure and its outcomes. It offers considerable promise for enhancing patient education. However, concerns about medical precision underscore the need for rigorous oversight to safely integrate AI into patient education. Over the medium term, AI-generated, simplified versions of these reports-and other medical records-could be effortlessly integrated into standard automated postoperative care and digital discharge systems.
AU  - Riedel, M.J.*
AU  - Meyer, B.*
AU  - Kfuri-Rubens, R.
AU  - Riedel, C.*
AU  - Amann, N.*
AU  - Kiechle, M.*
AU  - Riedel, F.*
C1  - 74545
C2  - 57504
CY  - 111 River St, Hoboken 07030-5774, Nj Usa
TI  - AI-driven simplification of surgical reports in gynecologic oncology: A potential tool for patient education.
JO  - Acta Obstet. Gynecol. Scand.
PB  - Wiley
PY  - 2025
SN  - 0001-6349
ER  - 

TY  - JOUR
AB  - OBJECTIVE: To examine the effect of physical partner violence on pregnancy loss and unplanned pregnancy. DESIGN: Cross-sectional, self-reported questionnaire survey. SETTING: A maternity ward of a university hospital in Munich, Germany. SAMPLE: Women who gave birth within the previous seven days. METHODS: The effects of physical partner violence on pregnancy loss and unplanned pregnancy were estimated using descriptive statistics based on χ(2) tests, bivariate logistic regression and multivariate logistic regression.  MAIN OUTCOME MEASURES: Physical partner violence was assessed using the Abuse Assessment Screen, information on pregnancy loss was derived from women's medical files and the assessment of pregnancy planning was based on women's self-reports. RESULTS: The survey had a response rate of 73%; 29% of the women experienced pregnancy loss, 13% reported that their last pregnancy was unplanned and 4% revealed physical violence by a current or previous partner. Physical partner violence was significantly associated with pregnancy loss (odds ratio 8.33, 95% confidence interval 2.01-34.59) and unplanned last pregnancy (odds ratio 5.03, 95% confidence interval 1.21-21.26), even after adjusting for other commonly known explanatory factors, such as number of children, women's age and women's and their partners' education level and employment, marital status, financial situation and support during pregnancy. CONCLUSIONS: Physical partner violence is an important factor in understanding pregnancy loss and unplanned pregnancy. Inquiring about the existence of intimate partner violence among these women might help to identify women in need of domestic violence services.
AU  - Stöckl, H.*
AU  - Hertlein, L.*
AU  - Himsl, I.*
AU  - Delius, M.*
AU  - Hasbargen, U.*
AU  - Friese, K.*
AU  - Stöckl, D.
C1  - 7119
C2  - 29480
SP  - 128-133
TI  - Intimate partner violence and its association with pregnancy loss and pregnancy planning.
JO  - Acta Obstet. Gynecol. Scand.
VL  - 91
IS  - 1
PB  - Wiley-Blackwell
PY  - 2012
SN  - 0001-6349
ER  -