Загрузка страницы

Chieh-Ju Chao - Toward AI-enabled Automatic Echocardiography Reporting: Challenges and Solutions

Recorded on June 29, 2023 by the Stanford Center for Artificial Intelligence in Medicine and Imaging.

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.

Speaker:
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.

Видео Chieh-Ju Chao - Toward AI-enabled Automatic Echocardiography Reporting: Challenges and Solutions канала Stanford AIMI
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
7 марта 2024 г. 1:38:49
00:33:17
Другие видео канала
#AIMI22 | Vision Talks 1- Advancing the Scientific Understanding of Disease#AIMI22 | Vision Talks 1- Advancing the Scientific Understanding of Disease#AIMI23 | Welcome and Opening Remarks - Curt Langlotz#AIMI23 | Welcome and Opening Remarks - Curt LanglotzXIao Liu & Alastair Denniston - Reporting Guidelines for Clinical Trials Involving AIXIao Liu & Alastair Denniston - Reporting Guidelines for Clinical Trials Involving AIAIMI Symposium - Nigam Shah: The Price of Fairness in Clinical Risk PredictionAIMI Symposium - Nigam Shah: The Price of Fairness in Clinical Risk Prediction#AIMI22 | Welcome - Curt Langlotz, Stanford AIMI Director#AIMI22 | Welcome - Curt Langlotz, Stanford AIMI DirectorEvan Calabrese - Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade GliomasEvan Calabrese - Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade GliomasBOLD-AIR Summit 2021 | Session 1: Data Sharing & Patient PrivacyBOLD-AIR Summit 2021 | Session 1: Data Sharing & Patient PrivacyIBIIS-AIMI Keynote & Fireside Chat | Alexei Efros - Self-Supervision for Learning from the Bottom UpIBIIS-AIMI Keynote & Fireside Chat | Alexei Efros - Self-Supervision for Learning from the Bottom UpDeep Tomographic Imaging - GE WangDeep Tomographic Imaging - GE Wang#AIMI24 | Welcome and Opening Remarks - Serena Yeung, Sergios Gatidis, Curt Langlotz, David Studdert#AIMI24 | Welcome and Opening Remarks - Serena Yeung, Sergios Gatidis, Curt Langlotz, David StuddertLiqin Wang - Development and Validation of a DL Model for Earlier Detection of Cognitive DeclineLiqin Wang - Development and Validation of a DL Model for Earlier Detection of Cognitive DeclineAIMI Fireside Chat with DJ Patil (Former US Chief Data Scientist) and Curt Langlotz (AIMI Director)AIMI Fireside Chat with DJ Patil (Former US Chief Data Scientist) and Curt Langlotz (AIMI Director)#AIMI21 | Industry/Academic Partnerships Panel Discussion#AIMI21 | Industry/Academic Partnerships Panel Discussion#AIMI24 | Panel 1: A Conversation on the Cutting Edge with Healthcare AI Industry Leaders#AIMI24 | Panel 1: A Conversation on the Cutting Edge with Healthcare AI Industry LeadersAI Happy Hour | Legal Considerations for AI in MedicineAI Happy Hour | Legal Considerations for AI in MedicineAI Happy Hour | AIMI Symposium Q&AAI Happy Hour | AIMI Symposium Q&AShinjini Kundu - How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?Shinjini Kundu - How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?AIMI Symposium 2020 - Keynote & Fireside Chat with Eric Topol and Daphne KollerAIMI Symposium 2020 - Keynote & Fireside Chat with Eric Topol and Daphne KollerAI Happy Hour | 2022 AI Index: Key Health FindingsAI Happy Hour | 2022 AI Index: Key Health FindingsAIMI Symposium 2020 - Session 4: Bridging Innovation to ApplicationAIMI Symposium 2020 - Session 4: Bridging Innovation to Application#AIMI21 | Session 3: Fairness, Generalizability & Societal Impact#AIMI21 | Session 3: Fairness, Generalizability & Societal Impact
Яндекс.Метрика