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Health intelligence: how artificial intelligence transforms population and personalized health
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Advances in computational and data sciences for data management, integration, mining, classification, filtering, visualization along with engineering innovations in medical devices have prompted demands for more comprehensive and coherent strategies to address the most fundamental questions in health care and medicine. Theory, methods, and models from artificial intelligence (AI) are changing the health care landscape in clinical and community settings and have already shown promising results in multiple applications in healthcare including, integrated health information systems, patient education, geocoding health data, social media analytics, epidemic and syndromic surveillance, predictive modeling and decision support, mobile health, and medical imaging (e.g. radiology and retinal image analyses). Health intelligence uses tools and methods from artificial intelligence and data science to provide better insights, reduce waste and wait time, and increase speed, service efficiencies, level of accuracy, and productivity in health care and medicine.
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“Artificial intelligence (AI) has become increasingly embedded in medical practice over the past decade, enhancing care capabilities from the development of personalized health libraries and innovative patient education strategies to disease screening, diagnostics, and treatment planning [1-4].”
From Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice (2026) · cites this paper as [2]
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Metadata
- Authors
- Shaban-Nejad, A., Michalowski, M., & Buckeridge, D. L.
- Affiliations
- University of Minnesota (US)
- McGill University (CA)
- Venue
- npj Digital Medicine
- Published
- 2018-10-02
- Volume
- 1
- Issue
- 1
- Pages
- 53-53
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC6550150
- OpenAlex
- W2892370045
- Cited by
- 252
- References
- 12
- Citations by year
- 2026: 17 · 2025: 32 · 2024: 28 · 2023: 81 · 2022: 34 · 2021: 22 · 2020: 24 · 2019: 14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- health intelligence, artificial intelligence in healthcare, population health, personalized healthcare, health information systems, patient education, social media analytics, disease surveillance, syndromic surveillance, predictive modeling, clinical decision support, mobile health, diagnostic imaging, radiology, retinal image analysis
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