These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
163 related articles for article (PubMed ID: 35011096)
1. A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project. Van Wymelbeke-Delannoy V; Juhel C; Bole H; Sow AK; Guyot C; Belbaghdadi F; Brousse O; Paindavoine M Nutrients; 2022 Jan; 14(1):. PubMed ID: 35011096 [TBL] [Abstract][Full Text] [Related]
2. Deep Neural Networks for Image-Based Dietary Assessment. Mezgec S; Koroušić Seljak B J Vis Exp; 2021 Mar; (169):. PubMed ID: 33779595 [TBL] [Abstract][Full Text] [Related]
3. Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care. Li X; Yin A; Choi HY; Chan V; Allman-Farinelli M; Chen J Nutrients; 2024 Aug; 16(15):. PubMed ID: 39125452 [TBL] [Abstract][Full Text] [Related]
5. NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment. Mezgec S; Koroušić Seljak B Nutrients; 2017 Jun; 9(7):. PubMed ID: 28653995 [TBL] [Abstract][Full Text] [Related]
6. "Snap-n-Eat": Food Recognition and Nutrition Estimation on a Smartphone. Zhang W; Yu Q; Siddiquie B; Divakaran A; Sawhney H J Diabetes Sci Technol; 2015 May; 9(3):525-33. PubMed ID: 25901024 [TBL] [Abstract][Full Text] [Related]
7. Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial. Ji Y; Plourde H; Bouzo V; Kilgour RD; Cohen TR JMIR Mhealth Uhealth; 2020 Sep; 8(9):e16953. PubMed ID: 32902389 [TBL] [Abstract][Full Text] [Related]
8. Smartphone-based diabetic macula edema screening with an offline artificial intelligence. Hwang DK; Yu WK; Lin TC; Chou SJ; Yarmishyn A; Kao ZK; Kao CL; Yang YP; Chen SJ; Hsu CC; Jheng YC J Chin Med Assoc; 2020 Dec; 83(12):1102-1106. PubMed ID: 33210900 [TBL] [Abstract][Full Text] [Related]
9. The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App. Vasiloglou MF; van der Horst K; Stathopoulou T; Jaeggi MP; Tedde GS; Lu Y; Mougiakakou S JMIR Mhealth Uhealth; 2021 Jan; 9(1):e24467. PubMed ID: 33439139 [TBL] [Abstract][Full Text] [Related]
10. Automatic food detection in egocentric images using artificial intelligence technology. Jia W; Li Y; Qu R; Baranowski T; Burke LE; Zhang H; Bai Y; Mancino JM; Xu G; Mao ZH; Sun M Public Health Nutr; 2019 May; 22(7):1168-1179. PubMed ID: 29576027 [TBL] [Abstract][Full Text] [Related]
11. Accuracy of an Artificial Intelligence-Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study. Tagi M; Tajiri M; Hamada Y; Wakata Y; Shan X; Ozaki K; Kubota M; Amano S; Sakaue H; Suzuki Y; Hirose J JMIR Form Res; 2022 May; 6(5):e35991. PubMed ID: 35536638 [TBL] [Abstract][Full Text] [Related]
12. Image-based nutrient estimation for Chinese dishes using deep learning. Ma P; Lau CP; Yu N; Li A; Liu P; Wang Q; Sheng J Food Res Int; 2021 Sep; 147():110437. PubMed ID: 34399450 [TBL] [Abstract][Full Text] [Related]
13. Medios- An offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy. Sosale B; Sosale AR; Murthy H; Sengupta S; Naveenam M Indian J Ophthalmol; 2020 Feb; 68(2):391-395. PubMed ID: 31957735 [TBL] [Abstract][Full Text] [Related]
14. Evaluation and comparison of smartphone application tracing, web based artificial intelligence tracing and conventional hand tracing methods. Kılınç DD; Kırcelli BH; Sadry S; Karaman A J Stomatol Oral Maxillofac Surg; 2022 Nov; 123(6):e906-e915. PubMed ID: 35901950 [TBL] [Abstract][Full Text] [Related]
15. Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning. Shokr A; Pacheco LGC; Thirumalaraju P; Kanakasabapathy MK; Gandhi J; Kartik D; Silva FSR; Erdogmus E; Kandula H; Luo S; Yu XG; Chung RT; Li JZ; Kuritzkes DR; Shafiee H ACS Nano; 2021 Jan; 15(1):665-673. PubMed ID: 33226787 [TBL] [Abstract][Full Text] [Related]
16. Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features. Chen G; Jia W; Zhao Y; Mao ZH; Lo B; Anderson AK; Frost G; Jobarteh ML; McCrory MA; Sazonov E; Steiner-Asiedu M; Ansong RS; Baranowski T; Burke L; Sun M Front Artif Intell; 2021; 4():644712. PubMed ID: 33870184 [TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization. Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601 [TBL] [Abstract][Full Text] [Related]
18. Food Recognition: A New Dataset, Experiments, and Results. Ciocca G; Napoletano P; Schettini R IEEE J Biomed Health Inform; 2017 May; 21(3):588-598. PubMed ID: 28114043 [TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device. Giudicessi JR; Schram M; Bos JM; Galloway CD; Shreibati JB; Johnson PW; Carter RE; Disrud LW; Kleiman R; Attia ZI; Noseworthy PA; Friedman PA; Albert DE; Ackerman MJ Circulation; 2021 Mar; 143(13):1274-1286. PubMed ID: 33517677 [TBL] [Abstract][Full Text] [Related]
20. Smartphone video imaging: A versatile, low-cost technology for food authentication. Song W; Wang H; Yun YH Food Chem; 2025 Jan; 462():140911. PubMed ID: 39213969 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]