Madison Milne‐Ives

The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review

2020 · 551 Zit. · Journal of Medical Internet Research

Effectiveness of Conversational Agents (Virtual Assistants) in Health Care: Protocol for a Systematic Review

2019 · 66 Zit. · JMIR Research Protocols

A Scoping Review of Digital Twins in the Context of the Covid-19 Pandemic

2022 · 24 Zit. · Biomedical Engineering and Computational Biology

Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery

2024 · 20 Zit. · EClinicalMedicine

Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

2022 · 17 Zit. · JMIR Research Protocols

Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal

2021 · 14 Zit. · JMIR Research Protocols

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

2024 · 8 Zit. · JMIR Research Protocols

The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review (Preprint)

2020 · 7 Zit.

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study (Preprint)

2020 · 0 Zit.

Safety and acceptability of a natural-language AI assistant to deliver clinical follow-up to cataract surgery patients: Proposal for a pragmatic evaluation

2021 · 0 Zit. · PEARL (University of Plymouth)

Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal (Preprint)

2021 · 0 Zit.

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review (Preprint)

2023 · 0 Zit.

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study” (Preprint)

2021 · 0 Zit.