Hosted Lunch Symposium at SECC-Best of SCCM Congress 2024 Taipei on October 6

On October 6, 2024, TXP Medical hosted a lunch symposium at the "SECC-Best of SCCM Congress 2024 Taipei." The seminar focused on AI technology in acute care medicine and its contributions to clinical research. The event gave attendees insights into cutting-edge technologies and practical applications within the acute care field.

Theme: AI Utilization in Clinical Research in Acute Care Medicine
Date and Time: October 6, 2024 (Sunday) 12:20-13:20 (CST) / 13:20-14:20 (JST)
Chair: Prof. Yih-Sharng Chen
(Professor, Chief of Cardiovascular Surgery & Pediatric Cardiovascular Surgery
Medical College of National Taiwan University)

During the seminar, two speakers presented in-depth discussions on the impact of AI integration in clinical research, highlighting its transformative potential for acute care medicine.

Speaker 1: Dr. Yuta Iwamoto
(TXP Medical Co. Ltd., Head of Overseas Business Development)
Dr. Iwamoto focused on the challenges facing clinical trials in the acute care domain in Japan, introducing solutions based on TXP Medical’s implementation of generative AI for automated registry registration. His presentation demonstrated how AI-driven data collection and management contribute to greater research efficiency and accuracy. His examples drew significant interest from attendees, showcasing the role of AI in streamlining clinical trial processes.

Speaker 2: Dr. Pui Ning Pauline Yeung
(Clinical Assistant Professor, Critical Care Medicine Unit, School of Clinical Medicine
As a member of the Asia-Pacific Extracorporeal Life Support Organization (APELSO), Dr. Yeung presented a collaborative project with TXP Medical, focusing on building a registry for patients with acute respiratory distress syndrome (ARDS). She detailed the use of Optical Character Recognition (OCR) technology in the registry, demonstrating how it improves both the accuracy and efficiency of clinical data collection. The case study highlighted the practical application of AI technologies in enhancing clinical research outcomes.

You can find more information on our collaborative research with APELSO from the following link.
txpmedical.jp/en/news/kX37t0p3yTU2BTW5ISIoz