AIMI Research Meeting: Toward Artificial Intelligence-enabled Automatic Echocardiography Reporting: Challenges and Potential Solutions - Chieh-Ju Chao, MD
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Abstract: Automation through Automatic Radiology Report Generation (ARRG) has the potential to enhance patient care by delivering precise and prompt reports. The field of ARRG has experienced significant advancements recently, particularly with the development of visual-linguistic models (VLM). However, similar progress has not been seen in the domain of echocardiography, despite its extensive use in Cardiology. This presentation aims to discuss the existing challenges in constructing an AI-enabled system for automatic echocardiography interpretation and showcase our preliminary efforts in this area.
Bio: Chieh-Ju Chao is a cardiologist at Mayo Clinic, and he is currently a visiting scholar at HAI. He is actively engaged in collaborative AI projects between the Mayo Clinic and Stanford HAI, working alongside Ehsan Adeli and Fei-Fei Li. Clinically, Dr. Chao specializes in interventional echocardiography and valvular heart diseases and is devoted to applying AI to echocardiograms to address clinical problems.
Attendance is open to the Stanford community. If you would like to attend on Zoom, please contact the AIMI Center at aimicenter@stanford.edu.