ID: 3521888 ARTIFICIAL INTELLIGENCE MODEL FOR THE CHARACTERIZATION OF BILIARY STRICTURES DURING REAL-TIME DIGITAL CHOLANGIOSCOPY: A PILOT STUDY

2021 ◽  
Vol 93 (6) ◽  
pp. AB142
Author(s):  
Carlos Robles-Medranda ◽  
Roberto Oleas ◽  
Juan M. Alcívar-Vásquez ◽  
Juan C. Mendez ◽  
Miguel Puga-Tejada ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pilot Study ◽  
Real Time ◽  
Biliary Strictures

Artificial Intelligence Model for the Characterization of Biliary Strictures During Real-Time Digital Cholangioscopy: A Pilot Study

2021 ◽  
Author(s):  
C Robles-Medranda ◽  
R Oleas ◽  
J Alcivar-Vasquez ◽  
JC Mendez ◽  
M Puga-Tejada ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pilot Study ◽  
Real Time ◽  
Biliary Strictures

ID: 3521955 APPLICATION OF ARTIFICIAL INTELLIGENCE FOR REAL-TIME ANATOMICAL RECOGNITION DURING ENDOSCOPIC ULTRASOUND EVALUATION: A PILOT STUDY

2021 ◽  
Vol 93 (6) ◽  
pp. AB221
Author(s):  
Carlos Robles-Medranda ◽  
Roberto Oleas ◽  
Raquel S. Del Valle ◽  
Juan C. Mendez ◽  
Juan M. Alcívar-Vásquez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pilot Study ◽  
Real Time ◽  
Endoscopic Ultrasound ◽  
Ultrasound Evaluation

Artificial intelligence for automatic diagnosis of biliary strictures malignancy status in single-operator cholangioscopy: a pilot study

2021 ◽  
Author(s):  
Miguel Mascarenhas Saraiva ◽  
Tiago Ribeiro ◽  
João P.S. Ferreira ◽  
Filipe Vilas Boas Silva ◽  
João Afonso ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pilot Study ◽  
Biliary Strictures ◽  
Automatic Diagnosis ◽  
Single Operator

scholarly journals An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

2021 ◽  
Author(s):  
Joe Zhang ◽  
Stephen Whebell ◽  
Jack Gallifant ◽  
Sanjay Budhdeo ◽  
Heather Mattie ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Natural Language ◽  
Real Time ◽  
Language Processing ◽  
Artificial Intelligence Research ◽  
End To End ◽  
Monitoring Progress

The global clinical artificial intelligence (AI) research landscape is constantly evolving, with heterogeneity across specialties, disease areas, geographical representation, and development maturity. Continual assessment of this landscape is important for monitoring progress. Taking advantage of developments in natural language processing (NLP), we produce an end-to-end NLP pipeline to automate classification and characterization of all original clinical AI research on MEDLINE, outputting real-time results to a public, interactive dashboard (https://aiforhealth.app/).

686 INCREASED POLYP DETECTION IN A WESTERN POPULATION USING A REAL-TIME ARTIFICIAL INTELLIGENCE-BASED SYSTEM DURING COLONOSCOPY: A PILOT STUDY

2021 ◽  
Vol 160 (6) ◽  
pp. S-137
Author(s):  
Susan Y. Quan ◽  
Mike Wei ◽  
Jun Lee ◽  
Raja Mohi-Ud-Din ◽  
Radman Mostaghim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pilot Study ◽  
Real Time ◽  
Polyp Detection ◽  
Western Population
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