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Frontiers in Plant Science
|
November 23, 2017
Deep Learning for Image-Based Cassava Disease Detection
Amanda Ramcharan, Kelsee Baranowski, Peter McCloskey, et al.
Frontiers in Plant Science
|
April 6, 2019
A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis
Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski, et al.
The American Journal of Clinical Nutrition
|
November 7, 2024
Computer vision-assisted dietary assessment through mobile phones in female youth in urban Ghana: validity against weighed records and comparison with 24-h recalls
Aulo Gelli, Odiche Nwabuikwu, Boateng Bannerman, et al.
The Journal of Nutrition
|
March 13, 2026
Artificial Intelligence-assisted dietary assessment in adolescent girls in Sri Lanka: Validity against weighed food records and comparison with 24-hour recalls
Nilmini Karunarathna, Thushanthi Perera, Odiche Nwabuikwu, et al.
JMIR Formative Research
|
July 21, 2022
Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study
Bianca C Braga, Phuong H Nguyen, Noora-Lisa Aberman, et al.
The Journal of Nutrition
|
June 5, 2023
Validation of Mobile Artificial Intelligence Technology-Assisted Dietary Assessment Tool Against Weighed Records and 24-Hour Recall in Adolescent Females in Ghana
Gloria K Folson, Boateng Bannerman, Vicentia Atadze, et al.
Current Developments in Nutrition
|
May 31, 2024
Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study
Bianca C Braga, Phuong H Nguyen, Lan Mai Tran, et al.
Frontiers in Digital Health
|
December 23, 2022
Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
Bianca C Braga, Alejandra Arrieta, Boateng Bannerman, et al.
The American Journal of Clinical Nutrition
|
August 9, 2022
Relative validity of a mobile AI-technology-assisted dietary assessment in adolescent females in Vietnam
Phuong Hong Nguyen, Lan Mai Tran, Nga Thu Hoang, et al.
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of 1
Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Frontiers in Plant Science
|
November 23, 2017
Deep Learning for Image-Based Cassava Disease Detection
Amanda Ramcharan, Kelsee Baranowski, Peter McCloskey, et al.
Frontiers in Plant Science
|
April 6, 2019
A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis
Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski, et al.
The American Journal of Clinical Nutrition
|
November 7, 2024
Computer vision-assisted dietary assessment through mobile phones in female youth in urban Ghana: validity against weighed records and comparison with 24-h recalls
Aulo Gelli, Odiche Nwabuikwu, Boateng Bannerman, et al.
The Journal of Nutrition
|
March 13, 2026
Artificial Intelligence-assisted dietary assessment in adolescent girls in Sri Lanka: Validity against weighed food records and comparison with 24-hour recalls
Nilmini Karunarathna, Thushanthi Perera, Odiche Nwabuikwu, et al.
JMIR Formative Research
|
July 21, 2022
Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study
Bianca C Braga, Phuong H Nguyen, Noora-Lisa Aberman, et al.
The Journal of Nutrition
|
June 5, 2023
Validation of Mobile Artificial Intelligence Technology-Assisted Dietary Assessment Tool Against Weighed Records and 24-Hour Recall in Adolescent Females in Ghana
Gloria K Folson, Boateng Bannerman, Vicentia Atadze, et al.
Current Developments in Nutrition
|
May 31, 2024
Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study
Bianca C Braga, Phuong H Nguyen, Lan Mai Tran, et al.
Frontiers in Digital Health
|
December 23, 2022
Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test
Bianca C Braga, Alejandra Arrieta, Boateng Bannerman, et al.
The American Journal of Clinical Nutrition
|
August 9, 2022
Relative validity of a mobile AI-technology-assisted dietary assessment in adolescent females in Vietnam
Phuong Hong Nguyen, Lan Mai Tran, Nga Thu Hoang, et al.
Page
of 1