Masterclasses Infection Control and Artificial Intelligence

Masterclasses Infection Control and Artificial Intelligence
Spend the weekend learning with ASGE Masters Virtually! Participate in the ASGE Masterclasses on Infection Control and/or Artificial Intelligence. Sign up for both events and SAVE! In addition to an in depth presentation, attendees will be able to participate in a live Q&A session, and will receive complimentary access to the recorded webinar within two weeks.




Infection Control
Endoscopy-related infection control practices has been an important part of patient safety protocols but has become increasingly heightened as a result of the recent COVID-19 pandemic.  As a result of COVID-19, many have reassessed current and future infection control practices.  This include patient triage strategies based on infection risk during the ever-changing pandemic conditions, but also the management of microorganisms through reprocessing by mechanical and detergent cleaning followed by high-level disinfection, rinsing, and drying. Importantly, the reprocessing of endoscopes and minimizing endoscopy related infections requires a team based, multi-disciplinary approach and includes several interrelated and critical elements; this includes staff training and ongoing competence, efficient endoscopy unit layout, maintenance of endoscopes, reprocessing of endoscope accessories and a robust, diverse endoscopy unit leadership team.  Earn up to 7.0 AMA PRA Category 1 Credits™.


Artificial Intelligence
Artificial Intelligence (AI) in GI and endoscopy is a growing trend being used to standardize imaging techniques to create better outcomes in the diagnosis of various GI disorders.  AI is a broad descriptor that refers to the development and application of computer algorithms that can perform tasks that usually require human intelligence.  Machine learning (ML) refers to AI in which the algorithm, based on the input of raw data, analyzes features in a separate dataset without specifically being programmed and delivers a specified classification output. One of the more common tasks to which machine learning has been applied is image discrimination and classification, which has many applications throughout GI and endoscopy.  This masterclass will review current practices and applications of AI in GI endoscopy, including colorectal polyp detection, polyp characterization (adenomatous versus nonadenomatous) and prediction of invasive cancer within a polyp lesion.  Other topics and applications will include wireless capsule endoscopy images and videos, localization and diagnosis of esophageal and gastric pathology on EGD and image analysis of endoscopic ultrasound images.  Earn up to 4.5 AMA PRA Category 1 Credits™.






When
6/18/2021 7:00 AM - 6/19/2021 5:00 PM
Where
Virtual Livestream

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Program

   
 
Endoscopy-related infection control practices has been an important part of patient safety protocols but has become increasingly heightened as a result of the recent COVID-19 pandemic. As a result of COVID-19, many have reassessed current and future infection control practices. This include patient triage strategies based on infection risk during the ever-changing pandemic conditions, but also the management of microorganisms through reprocessing by mechanical and detergent cleaning followed by high-level disinfection, rinsing, and drying. Importantly, the reprocessing of endoscopes and minimizing endoscopy related infections requires a team based, multi-disciplinary approach and includes several interrelated and critical elements; this includes staff training and ongoing competence, efficient endoscopy unit layout, maintenance of endoscopes, reprocessing of endoscope accessories and a robust, diverse endoscopy unit leadership team.
Time
7:00 AM - 5:00 PM
6/18/2021 7:00 AM

Artificial Intelligence (AI) in GI and endoscopy is a growing trend being used to standardize imaging techniques to create better outcomes in the diagnosis of various GI disorders. AI is a broad descriptor that refers to the development and application of computer algorithms that can perform tasks that usually require human intelligence. Machine learning (ML) refers to AI in which the algorithm, based on the input of raw data, analyzes features in a separate dataset without specifically being programmed and delivers a specified classification output. One of the more common tasks to which machine learning has been applied is image discrimination and classification, which has many applications throughout GI and endoscopy. This masterclass will review current practices and applications of AI in GI endoscopy, including colorectal polyp detection, polyp characterization (adenomatous versus nonadenomatous) and prediction of invasive cancer within a polyp lesion. Other topics and applications will include wireless capsule endoscopy images and videos, localization and diagnosis of esophageal and gastric pathology on EGD and image analysis of endoscopic ultrasound images.
Time
7:00 AM - 5:00 PM
6/19/2021 7:00 AM