Berkovsky, Shlomo

The Personalization of Conversational Agents in Health Care: Systematic Review

Kocaballi, A. B., Berkovsky, S., Quiroz, J. C., Laranjo, L., Tong, H. L., Rezazadegan, D., Briatore, A., & Coiera, E. (2019) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationMobile Health and mHealth Applications

Cited by 332

Challenges of developing a digital scribe to reduce clinical documentation burden

Quiroz, J. C., Laranjo, L., Kocaballi, A. B., Berkovsky, S., Rezazadegan, D., & Coiera, E. (2019) · npj Digital Medicine

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 162

Mobile health and privacy: cross sectional study

Tangari, G., Ikram, M., Ijaz, K., Kaafar, M. A., & Berkovsky, S. (2021) · BMJ

Mobile Health and mHealth ApplicationsPrivacy, Security, and Data Protection

Cited by 158

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners

Kocaballi, A. B., Ijaz, K., Laranjo, L., Quiroz, J. C., Rezazadegan, D., Tong, H. L., Willcock, S., Berkovsky, S., & Coiera, E. (2020) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 112

User Trust Dynamics: An Investigation Driven by Differences in System Performance

Yu, K., Berkovsky, S., Taib, R., Conway, D., Zhou, J., & Chen, F. (2017) · Proceedings of the 22nd International Conference on Intelligent User Interfaces

Human-Automation Interaction and SafetyTechnology Adoption and User Behaviour

Cited by 90

Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review

Fraile Navarro, D., Ijaz, K., Rezazadegan, D., Rahimi-Ardabili, H., Dras, M., Coiera, E., & Berkovsky, S. (2023) · International Journal of Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 82

Responses of Conversational Agents to Health and Lifestyle Prompts: Investigation of Appropriateness and Presentation Structures

Kocaballi, A. B., Quiroz, J. C., Rezazadegan, D., Berkovsky, S., Magrabi, F., Coiera, E., & Laranjo, L. (2020) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationMobile Health and mHealth Applications

Cited by 73

Do I trust my machine teammate?: an investigation from perception to decision

Yu, K., Berkovsky, S., Taib, R., Zhou, J., & Chen, F. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces

Human-Automation Interaction and SafetySocial Robot Interaction and HRI

Cited by 71

Analyzing security issues of android mobile health and medical applications

Tangari, G., Ikram, M., Sentana, I. W. B., Ijaz, K., Kaafar, M. A., & Berkovsky, S. (2021) · Journal of the American Medical Informatics Association

Advanced Malware Detection TechniquesMobile Health and mHealth Applications

Cited by 38

Collaboration, not Confrontation: Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice

Fraile Navarro, D., Kocaballi, A. B., Dras, M., & Berkovsky, S. (2023) · ACM Transactions on Computer-Human Interaction

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 28

Factors associated with persistent participation in an online diet intervention

Freyne, J., Saunders, I., Brindal, E., Berkovsky, S., & Smith, G. (2012) · CHI '12 Extended Abstracts on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 19

DDoD: Dual Denial of Decision Attacks on Human-AI Teams

Tag, B., van Berkel, N., Verma, S., Zhao, B. Z. H., Berkovsky, S., Kaafar, D., Kostakos, V., & Ohrimenko, O. (2023) · IEEE Pervasive Computing

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 15