Shlomo Berkovsky
Macquarie University · AU
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Personalization of Conversational Agents in Health Care: Systematic Review
2019 · 331 Zit. · Journal of Medical Internet Research
Challenges of developing a digital scribe to reduce clinical documentation burden
2019 · 148 Zit. · npj Digital Medicine
Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners
2020 · 104 Zit. · Journal of the American Medical Informatics Association
Responses of Conversational Agents to Health and Lifestyle Prompts: Investigation of Appropriateness and Presentation Structures
2019 · 81 Zit. · Journal of Medical Internet Research
Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping review
2023 · 36 Zit. · Journal of the American Medical Informatics Association
Collaboration, not Confrontation: Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice
2022 · 27 Zit. · ACM Transactions on Computer-Human Interaction
Severity Assessment of COVID-19 based on Clinical and Imaging Data
2020 · 4 Zit. · medRxiv
Moving beyond algorithmic accuracy to improving user interaction with clinical AI
2023 · 4 Zit. · PLOS Digital Health
Emerging Applications and Translational Challenges for AI in Healthcare
2024 · 3 Zit. · Information
How Well Do AI-Enabled Decision Support Systems Perform in Clinical Settings?
2024 · 3 Zit. · Studies in health technology and informatics
Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks
2025 · 3 Zit. · Journal of Medical Systems
AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using a Conceptual Prototype: Randomized Controlled Study
2025 · 2 Zit. · Journal of Medical Internet Research
Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study (Preprint)
2020 · 0 Zit.
Applying Ai to Support Cardiovascular Risk Prediction in Resource-Constrained Settings: Qualitative Insights from Indonesian Doctors
2024 · 0 Zit. · SSRN Electronic Journal