This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3383) Pulmonology, COPD (202) Asthma Education and Self-Management in Childhood and Adolescence (90) Artificial Intelligence (2280) Quality/Credibility of eHealth Information and Trust Issues (671) Demographics of Users, Social & Digital Divide (959) Machine Learning (2193) Clinical Informatics (1397) Equity and Digital Divide (403)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59811, first published .
Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

Perceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Māori Views

Authors of this article:

Widana Kankanamge Darsha Jayamini1, 2 Author Orcid Image ;   Farhaan Mirza1 Author Orcid Image ;   Marie-Claire Bidois-Putt3 Author Orcid Image ;   M Asif Naeem4 Author Orcid Image ;   Amy Hai Yan Chan3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Vraňaková N, Gyurák Babeľová Z. The Roles of Technology Acceptance and Technology Use Frequency in Employees’ Quality of Work Life. Systems 2025;13(10):893 View
  2. Mirza F, Jayamini W, Lutui R, Pole K, Matenga-Ikihele A, Mu’aulama A, Chan A. Leveraging AI and technology for holistic asthma management in the Pasifika community. Telematics and Informatics Reports 2026;21:100302 View
  3. Culver R, Johnson A, Tan L. From guidelines to algorithms: the future of AI-augmented asthma care. Current Opinion in Pulmonary Medicine 2026 View