Published on in Vol 8, No 9 (2020): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/16953, first published
.
Journals
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- Hattab S, Badrasawi M, Anabtawi O, Zidan S. Development and validation of a smartphone image-based app for dietary intake assessment among Palestinian undergraduates. Scientific Reports 2022;12(1) View
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- Susanto A, Winarto H, Fahira A, Abdurrohman H, Muharram A, Widitha U, Warman Efirianti G, Eduard George Y, Tjoa K. Building an artificial intelligence-powered medical image recognition smartphone application: What medical practitioners need to know. Informatics in Medicine Unlocked 2022;32:101017 View
- Iizuka K, Ishihara T, Watanabe M, Ito A, Sarai M, Miyahara R, Suzuki A, Saitoh E, Sasaki H. Nutritional Assessment of Hospital Meals by Food-Recording Applications. Nutrients 2022;14(18):3754 View
- Roberts C, Gill N, Baxter B, Sims S. Ecological Validation and Practical Challenges of Conducting Dietary Analysis in Athletic Individuals Using a Novel Remote Food Photography Method Mobile Phone Application. Journal of Science in Sport and Exercise 2024;6(1):90 View
- Azab S, de Souza R, Ly R, Teo K, Atkinson S, Morrison K, Anand S, Britz-McKibbin P. Non-esterified fatty acids as biomarkers of diet and glucose homeostasis in pregnancy: The impact of fatty acid reporting methods. Prostaglandins, Leukotrienes and Essential Fatty Acids 2022;176:102378 View
- Van Wymelbeke-Delannoy V, Juhel C, Bole H, Sow A, Guyot C, Belbaghdadi F, Brousse O, Paindavoine M. A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project. Nutrients 2022;14(1):221 View
- Ben-Porat T, Alberga A, Audet M, Belleville S, Cohen T, Garneau P, Lavoie K, Marion P, Mellah S, Pescarus R, Rahme E, Santosa S, Studer A, Vuckovic D, Woods R, Yousefi R, Bacon S, Ben-Porat T, Cohen T. Understanding the impact of radical changes in diet and the gut microbiota on brain function and structure: rationale and design of the EMBRACE study. Surgery for Obesity and Related Diseases 2023;19(9):1000 View
- Surdilovic D, Abdelaal H, D'Souza J. Using artificial intelligence in preventive dentistry: A narrative review. Journal of Datta Meghe Institute of Medical Sciences University 2023;18(1):146 View
- Ducarmon Q, Grundler F, Le Maho Y, Wilhelmi de Toledo F, Zeller G, Habold C, Mesnage R. Remodelling of the intestinal ecosystem during caloric restriction and fasting. Trends in Microbiology 2023;31(8):832 View
- Ramírez-Contreras C, Farran-Codina A, Zerón-Rugerio M, Izquierdo-Pulido M. Relative Validity and Reliability of the Remind App as an Image-Based Method to Assess Dietary Intake and Meal Timing in Young Adults. Nutrients 2023;15(8):1824 View
- Whatnall M, Kolokotroni K, Fozard T, Evans T, Marwood J, Ells L, Burrows T. How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults. The American Journal of Clinical Nutrition 2023;118(2):452 View
- Ho D, Chiu W, Kao J, Tseng H, Yao C, Su H, Wei P, Le N, Nguyen H, Chang J. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app. Nutrition 2023;116:112212 View
- Vitale M, Bruno V, D’Abbronzo G, Rivellese A, Bozzetto L, Scidà G, Annuzzi G. Evaluation of eating habits by 7-day food record: web-PC vs. traditional paper format. International Journal of Food Sciences and Nutrition 2023;74(4):580 View
- Sarkar C, Mohanty V, Balappanavar A, Rijhwani K, Chahar P. Development, validation, and usability testing of prototype mobile application for oral health promotion during pregnancy in India. Indian Journal of Public Health 2023;67(3):376 View
- Severinsen F, Andersen L, Paulsen M. The Use of a Decision Support System (MyFood) to Assess Dietary Intake Among Free-Living Older Adults in Norway: Evaluation Study. JMIR mHealth and uHealth 2023;11:e45079 View
- Leino A, Magee J, Kershaw D, Pai M, Park J. A Comprehensive Mixed‐Method Approach to Characterize the Source of Diurnal Tacrolimus Exposure Variability in Children: Systematic Review, Meta‐analysis, and Application to an Existing Data Set. The Journal of Clinical Pharmacology 2024;64(3):334 View
- Salinari A, Machì M, Armas Diaz Y, Cianciosi D, Qi Z, Yang B, Ferreiro Cotorruelo M, Villar S, Dzul Lopez L, Battino M, Giampieri F. The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases 2023;11(3):97 View
- Larke J, Chin E, Bouzid Y, Nguyen T, Vainberg Y, Lee D, Pirsiavash H, Smilowitz J, Lemay D. Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment. Nutrients 2023;15(23):4972 View
- Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
- Santarossa S, Redding A, Connell M, Kao K, Susick L, Kerver J. Exploring preliminary dietary intake results using a novel dietary assessment tool with pregnant participants enrolled in a birth cohort. BMC Research Notes 2024;17(1) View
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- Scanlon S, Norton C. Investigating Nutrition and Hydration Knowledge and Practice among a Cohort of Age-Grade Rugby Union Players. Nutrients 2024;16(4):533 View
- Guo Z, Wu Q, Wang X, Dai Y, Ma Y, Qiu Y, Zhang Y, Wang X, Jin J. Effects of message framing and risk perception on health communication for optimum cardiovascular disease primary prevention: a protocol for a multicenter randomized controlled study. Frontiers in Public Health 2024;12 View
- Sharif I, Badrasawi M, Zidan S, Zghier H, Abu Sunaina R, Abu Mazer T. Creation, Validation, and Use of Photo-Based Smartphone Application for Dietary Fiber Counting Among University Students. Topics in Clinical Nutrition 2024;39(2):157 View
- Veena N, Prasad M, Aruna Deepthi S, Swaroopa Rani B, Nayak M, Someshwar S. An Optimized Recurrent Neural Network for re-modernize food dining bowls and estimating food capacity from images. Entertainment Computing 2024;50:100664 View
- Muñoz J, Groskreutz M, Compher C, Andy U. Diet Intake After Diet Modification Intervention in Women With Fecal Incontinence. Urogynecology 2024;30(9):774 View
- Mavar M, Sorić T, Bagarić E, Sarić A, Matek Sarić M. The Power of Vitamin D: Is the Future in Precision Nutrition through Personalized Supplementation Plans?. Nutrients 2024;16(8):1176 View
- Liang Y, Xiao R, Huang F, Lin Q, Guo J, Zeng W, Dong J. AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Computers in Biology and Medicine 2024;178:108711 View
- Sak J, Suchodolska M. Artificial Intelligence in Nutrients Science Research: A Review. Nutrients 2021;13(2):322 View
- La Mantia I, Maniaci A, Scibilia G, Scollo P. Effects of a Dietary Microalgae (Arthrospira platensis) Supplement on Stress, Well-Being, and Performance in Water Polo Players: A Clinical Case Series. Nutrients 2024;16(15):2421 View
- Iglesies-Grau J, Dionne V, Latour É, Gayda M, Besnier F, Gagnon D, Debray A, Gagnon C, Tessier A, Paradis A, Klai C, Martin N, Pelletier V, Simard F, Nigam A, L’Allier P, Juneau M, Bouabdallaoui N, Bherer L. Cardiac Rehabilitation for Prediabetes and Metabolic Syndrome Remission: Impact of Ultraprocessed Food–Intake Reduction and Time-Restricted Eating in the DIABEPIC-1 Study. CJC Open 2024;6(11):1411 View
- Ho D, Chiu W, Kao J, Tseng H, Lin C, Huang P, Fang Y, Chen K, Su T, Yang C, Yao C, Su H, Wei P, Chang J. Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study. JMIR mHealth and uHealth 2024;12:e54509 View
- Oei K, Choi E, Bar-Dayan A, Stinson J, Palmert M, Alfonsi J, Hamilton J. An Image-Recognition Dietary Assessment App for Adolescents with Obesity: Usability and Feasibility Testing (Pilot Randomized Controlled Trial) (Preprint). JMIR Formative Research 2024 View
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- Nogueira-Rio N, Varela Vazquez L, Lopez-Santamarina A, Mondragon-Portocarrero A, Karav S, Miranda J. Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review. Dietetics 2024;3(4):483 View
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Books/Policy Documents
- Kadam P, Petkar N, Phansalkar S. Information and Communication Technology for Competitive Strategies (ICTCS 2020). View
- Shaikh K, Vivek Bekal S, Marei H, Elsayed W, Surdilovic D, Jawad L. Artificial Intelligence in Dentistry. View
- Côté M, Lamarche B. Artificial Intelligence in Clinical Practice. View