UL
15:00 - 16:00
(Room 0.14)
Future of Ultrasound - Driven by AI
About the speaker:
Prof. Thomas Fischer, MD, PhD
Radiologist, Head of Interdisciplinary Ultrasound Center,
Radiology, Executive Senior Physician, Department of Radiology
Charité University Medicine
Berlin, Germany
Professional Biography:
Prof. Thomas Fischer is Professor of Radiology and head of the interdisciplinary ultrasound center of the Radiology Department of Charité University Medicine in Berlin.
Professor Fischer has worked in ultrasound clinical research over many years in close cooperation with other clinical disciplines such as Internal Medicine, Emergency Medicine, Surgery, Urology and Nephrology. He has published over 130 scientific papers and is a popular international speaker at congresses, workshops, and webinars.
He has been working with Toshiba/Canon Ultrasound for more than 20 years and is deeply involved in the clinical evaluations of new developments from Canon Ultrasound Japan.
Abstract:
In recent years, the field of artificial intelligence (AI) has made significant advancements, revolutionizing various industries and medical care. One area that shows great promise is the integration of AI with ultrasound technology. AI algorithms can analyse ultrasound images in real-time, detecting abnormalities and assisting healthcare professionals in making informed decisions and structured reports. This technology has the potential to improve the accuracy of diagnoses, reduce human error, and enhance patient care. Additionally, AI can aid in automating certain tasks, such as image interpretation and measurement, saving time and resources. However, it is important to note that while AI has shown promising results, it is not possible to replace human expertise. AI should use as a valuable tool that complements the skills of ultrasound professionals.
Learning objectives:
- To learn the possible integration of AI with ultrasound technology to present possibilities for the future of medical diagnostics in the field of image fusion and measurements
- To understand the value on AI algorithms for ultrasound scans for more accurate diagnoses and to improved patient care in daily routine