Publications by authors named "T Gruber-Rouh"
Article Synopsis
- The study investigates the use of Large Language Models (LLMs), specifically ChatGPT, in medical education, focusing on their ability to enhance the learning experience for medical students.
- Using 151 radiology exam questions, the performance of OpenAI's GPT-3.5 and GPT-4 was assessed, with GPT-4 showing significantly higher accuracy (88.1%) compared to GPT-3.5 (67.6%).
- Results suggest that LLMs, especially GPT-4, could serve as effective study resources for medical students preparing for exams, although users should be cautious of potential inaccuracies in responses.
: This study aimed to evaluate the tumor response relating to and survival benefit of transarterial chemoperfusion (TACP) and transarterial chemoembolization (TACE) in the treatment of patients with unresectable gynecologic tumors who are intolerant of or have a suboptimal response to chemotherapy and radiotherapy. : Between January 2000 and October 2023, 75 patients diagnosed with gynecologic tumors underwent 213 TACP and 154 TACE procedures. Of these, 33 patients were treated with TACP, 20 were treated with TACE, and 22 received a combination of both therapies.
View Article and Find Full Text PDFIntussusception in adult patients is a rare medical finding, which is accompanied by an underlying tumor in some cases. However, no accepted method has been established to identify patients at risk for tumor-related intussusception. This study aimed to identify imaging features as predictors for tumor-related intussusception.
View Article and Find Full Text PDFObjectives: This study aimed to compare the combination therapy of transarterial chemoembolization (TACE) and microwave ablation (MWA) with MWA alone in treating liver metastases from colorectal cancer (LMCRC).
Materials And Methods: In this retrospective study, a total of 251 patients with unresectable and not to chemotherapy responding LMCRC were included. Group A consisted of 184 patients (104 male and 80 females; mean age: 64 ± 11.
Background: We evaluated the role of dual-energy computed tomography (DECT)-based collagen maps in assessing thoracic disc degeneration.
Methods: We performed a retrospective analysis of patients who underwent DECT and magnetic resonance imaging (MRI) of the thoracic spine within a 2-week period from July 2019 to October 2022. Thoracic disc degeneration was classified by three blinded radiologists into three Pfirrmann categories: no/mild (grade 1-2), moderate (grade 3-4), and severe (grade 5).