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Liliana Laranjo, MD MPH PhD
Liliana Laranjo, MD MPH PhD
Sydney Medical School, University of Sydney
Verified email at mail.harvard.edu
Title
Cited by
Cited by
Year
Conversational agents in healthcare: a systematic review
L Laranjo, AG Dunn, HL Tong, AB Kocaballi, J Chen, R Bashir, D Surian, ...
Journal of the American Medical Informatics Association, 1-11, 2018
11312018
The influence of social networking sites on health behavior change: a systematic review and meta-analysis
L Laranjo, A Arguel, AL Neves, AM Gallagher, R Kaplan, N Mortimer, ...
Journal of the American Medical Informatics Association 22 (1), 243-256, 2015
8212015
Chatbots in the fight against the COVID-19 pandemic
AS Miner, L Laranjo, K AB
npj Digital Medicine 3 (65), 2020
3122020
Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression
L Laranjo, D Ding, B Heleno, B Kocaballi, JC Quiroz, HL Tong, ...
British journal of sports medicine 55 (8), 422-432, 2021
2732021
The personalization of conversational agents in health care: systematic review
AB Kocaballi, S Berkovsky, JC Quiroz, L Laranjo, HL Tong, ...
Journal of medical Internet research 21 (11), e15360, 2019
2472019
Facilitators, barriers and expectations in the self-management of type 2 diabetes—a qualitative study from Portugal
L Laranjo, AL Neves, A Costa, RT Ribeiro, L Couto, AB Sá
European Journal of General Practice 21 (2), 103-110, 2015
1342015
Chapter 6: Social Media and Health Behavior Change
L Laranjo
Participatory Health through Social Media, 83-103, 2016
1312016
Challenges of developing a digital scribe to reduce clinical documentation burden
JC Quiroz, L Laranjo, AB Kocaballi, S Berkovsky, D Rezazadegan, ...
NPJ digital medicine 2 (1), 114, 2019
1142019
Social influence in the uptake and use of electronic cigarettes: a systematic review
S Amin, AG Dunn, L Laranjo
American Journal of Preventive Medicine 58 (1), 129-141, 2020
1002020
The digital scribe
E Coiera, B Kocaballi, J Halamka, L Laranjo
npj Digital Medicine 1 (58), 2018
1002018
Personalized mobile technologies for lifestyle behavior change: a systematic review, meta-analysis, and meta-regression
HL Tong, JC Quiroz, AB Kocaballi, SCM Fat, KP Dao, H Gehringer, ...
Preventive medicine 148, 106532, 2021
922021
Impact of providing patients access to electronic health records on quality and safety of care: a systematic review and meta-analysis
AL Neves, L Freise, L Laranjo, AW Carter, A Darzi, E Mayer
BMJ quality & safety 29 (12), 1019-1032, 2020
902020
Measuring user experience in conversational interfaces: a comparison of six questionnaires
AB Kocabalil, L Laranjo, E Coiera
Proceedings of the 32nd international BCS human computer interaction conference, 2018
882018
Understanding and measuring user experience in conversational interfaces
AB Kocaballi, L Laranjo, E Coiera
Interacting with Computers 31 (2), 192-207, 2019
782019
The use of social features in mobile health interventions to promote physical activity: a systematic review
HL Tong, L Laranjo
npj Digital Medicine 1 (1), 43, 2018
732018
Smartphone-delivered ecological momentary interventions based on ecological momentary assessments to promote health behaviors: systematic review and adapted checklist for …
KP Dao, K De Cocker, HL Tong, AB Kocaballi, C Chow, L Laranjo
JMIR mHealth and uHealth 9 (11), e22890, 2021
692021
Responses of conversational agents to health and lifestyle prompts: investigation of appropriateness and presentation structures
AB Kocaballi, JC Quiroz, D Rezazadegan, S Berkovsky, F Magrabi, ...
Journal of medical Internet research 22 (2), e15823, 2020
662020
Envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners
AB Kocaballi, K Ijaz, L Laranjo, JC Quiroz, D Rezazadegan, HL Tong, ...
Journal of the American Medical Informatics Association 27 (11), 1695-1704, 2020
642020
Artificial intelligence in health: new opportunities, challenges, and practical implications
AYS Lau, P Staccini
Yearbook of medical informatics 28 (01), 174-178, 2019
592019
Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries
SMS Islam, A Talukder, MA Awal, MMU Siddiqui, MM Ahamad, ...
Frontiers in Cardiovascular Medicine 9, 839379, 2022
582022
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