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Automated Computer Vision Assessment of Hypomimia in Parkinson Disease: Proof-of-Principle Pilot Study

Avner Abrami, Steven Gunzler, Camilla Kilbane, Rachel Ostrand, Bryan Ho, Guillermo Cecchi

J Med Internet Res 2021;23(2):e21037

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Volumetric Food Quantification Using Computer Vision on a Depth-Sensing Smartphone: Preclinical Study

David Herzig, Christos T Nakas, Janine Stalder, Christophe Kosinski, Céline Laesser, Joachim Dehais, Raphael Jaeggi, Alexander Benedikt Leichtle, Fried-Michael Dahlweid, Christoph Stettler, Lia Bally

JMIR Mhealth Uhealth 2020;8(3):e15294

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#Healthy Selfies: Exploration of Health Topics on Instagram

Two of the studies cited above-used computer vision—a type of artificial intelligence that can automatically analyze the content of images—to perform automatic identification of certain types of images.

Sachin Muralidhara, Michael J. Paul

JMIR Public Health Surveill 2018;4(2):e10150

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Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision

Processed by advanced computer vision and machine-learning algorithms, depth videos enable the quantification of human movement without the need for marker-based motion capture or gait analysis systems, which are both expensive and cumbersome [1].

Cecily Morrison, Marcus D'Souza, Kit Huckvale, Jonas F Dorn, Jessica Burggraaff, Christian Philipp Kamm, Saskia Marie Steinheimer, Peter Kontschieder, Antonio Criminisi, Bernard Uitdehaag, Frank Dahlke, Ludwig Kappos, Abigail Sellen

JMIR Hum Factors 2015;2(1):e11

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Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring

Nabil Alshurafa, Annie Wen Lin, Fengqing Zhu, Roozbeh Ghaffari, Josiah Hester, Edward Delp, John Rogers, Bonnie Spring

J Med Internet Res 2019;21(12):e14904

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Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

After acquisition, the images are transmitted to a dedicated server via Wi-Fi or the mobile network, where a series of computer vision operations are performed.

Daniel Rhyner, Hannah Loher, Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Ransford Henry Botwey, David Duke, Christoph Stettler, Peter Diem, Stavroula Mougiakakou

J Med Internet Res 2016;18(5):e101

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Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study

Sina Akbarian, Nasim Montazeri Ghahjaverestan, Azadeh Yadollahi, Babak Taati

J Med Internet Res 2020;22(5):e17252

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