| Keyword search (4,163 papers available) | ![]() |
"Artificial intelligence" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Editorial: Data-driven vaccine design for microbial-associated diseases | Selvaraj G; Kaliamurthi S; Wei D; | 41624882 CHEMBIOCHEM |
| 2 | Divergent creativity in humans and large language models | Bellemare-Pepin A; Lespinasse F; Thölke P; Harel Y; Mathewson K; Olson JA; Bengio Y; Jerbi K; | 41565675 PSYCHOLOGY |
| 3 | Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems | Yaghoobian S; An J; Jeong DW; Hwang JH; | 41483514 ENCS |
| 4 | Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening | Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; | 41071096 ENCS |
| 5 | Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics | Abicumaran Uthamacumaran | 40848317 PSYCHOLOGY |
| 6 | Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review | Md Shike Bin Mazid Anik | 40692624 ENCS |
| 7 | Comprehensive review of reinforcement learning for medical ultrasound imaging | Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; | 40567264 ENCS |
| 8 | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; | 40428106 ENCS |
| 9 | Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques | Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; | 40336660 ENCS |
| 10 | Advanced Robotics for the Next-Generation of Cardiac Interventions | Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; | 40283240 ENCS |
| 11 | The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites | Lapointe VA; Dubé S; Rukhlyadyev S; Kessai T; Lafortune D; | 40032709 PSYCHOLOGY |
| 12 | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; | 39590726 HKAP |
| 13 | Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks | Abicumaran Uthamacumaran | 39420135 PSYCHOLOGY |
| 14 | Recommendations on the use of artificial intelligence in health promotion | Smith A; Arena R; Bacon SL; Faghy MA; Grazzi G; Raisi A; Vermeesch AL; Ong' wen M; Popovic D; Pronk NP; | 39389332 HKAP |
| 15 | Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game | Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; | 39052314 ENCS |
| 16 | LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy | St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; | 39009730 ENCS |
| 17 | Who Should Decide How Machines Make Morally Laden Decisions? | Dominic Martin | 27905083 JMSB |
| 18 | The State of Artificial Intelligence in Skin Cancer Publications | Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P; | 38323537 ENCS |
| 19 | Performance of ChatGPT on a Practice Dermatology Board Certification Examination | Joly-Chevrier M; Nguyen AX; Lesko-Krleza M; Lefrançois P; | 37489920 ENCS |
| 20 | Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics | Abicumaran Uthamacumaran | 35678918 PHYSICS |
| 21 | The Algorithms of Mindfulness | Johannes Bruder | 35103028 CONCORDIA |
| 22 | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | Bouzo V; Plourde H; Beckenstein H; Cohen TR; | 34582258 PERFORM |
| 23 | Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence | Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; | 33181361 CONCORDIA |
| Title: | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | ||||
| Authors: | Bouzo V, Plourde H, Beckenstein H, Cohen TR | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34582258/ | ||||
| DOI: | 10.3148/cjdpr-2021-022 | ||||
| Publication: | Canadian journal of dietetic practice and research : a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada | ||||
| Keywords: | Mobile applications; applications mobiles; artificial intelligence; diet records; intelligence artificielle; journal alimentaire; nutrition assessment; é; valuation nutritionnelle; | ||||
| PMID: | 34582258 | Category: | Date Added: | 2021-09-28 | |
| Dept Affiliation: |
PERFORM
1 School of Human Nutrition, McGill University, Montreal, QC. 2 PERFORM Centre, Concordia University, Montreal, QC. 3 Faculty of Land and Food Systems, Food, Nutrition and Health, University of British Columbia, Vancouver, BC. |
||||
Description: |
Keenoa™ is a novel Canadian diet application (app) currently used by Canadian dietitians to collect diet-related data from clients. The goal of this study was to evaluate Keenoa™ based on user feedback and compare it to a conventional pen and paper method. One hundred and two participants were recruited and randomly assigned to record their diets using this application for 3 nonconsecutive days. Following this, participants were invited to complete an online "exit" survey. Seventy-two subjects responded, with 50 completing an open-ended question asking for general feedback about the app. Data were reviewed and 3 main themes emerged: strengths, challenges, and future recommendations. Strengths associated with the app consisted of picture recognition software, the additional commentary feature, and the overall pleasant data collection process. Challenges that were identified included inconsistencies with the barcode scanning features, the limited food database, time to enter food details, and software issues. Future recommendations included using a larger food database, pairing dietary intake with physical activity monitoring, and having accessible nutritional data. Despite these limitations, participants preferred using mobile apps to record diet compared with traditional written food diaries. |



