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A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.
Date:
August 10, 2021
Creator:
Harari, Yaar; Shawen, Nicholas; Mummidisetty, Chaithanya K.; Albert, Mark & Kording, Konrad P.
System:
The UNT Digital Library
Artificial Intelligence for Colonoscopy: Past, Present, and Future
Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Date:
August 2021
Creator:
Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
System:
The UNT Digital Library