Abstract
Use of artificial intelligence (AI) and machine learning (ML) in the healthcare setting has expanded significantly in the last decade, and even more rapidly in the past few years. The global spread of Coronavirus Disease 2019 (COVID-19) undeniably contributed to the significant and rapid progress in digital health made since 2020. Because of restrictions on in-person interactions, the healthcare industry shifted to using telemedicine and various digital health technologies for remote monitoring. The pandemic highlighted the importance of data and analytics in healthcare and increased the investment in digital health. Since 2020, most healthcare organizations are now involved in developing or adopting healthcare-related AI/ML products that are changing the system as we know it.
Original language | English (US) |
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Title of host publication | Digital Health |
Subtitle of host publication | Telemedicine and Beyond |
Publisher | Elsevier |
Pages | 425-432 |
Number of pages | 8 |
ISBN (Electronic) | 9780443239014 |
ISBN (Print) | 9780443239021 |
DOIs | |
State | Published - Jan 1 2024 |
Keywords
- Artificial intelligence
- Digital health
- Digital health education
- Healthcare
- Machine learning
ASJC Scopus subject areas
- General Medicine
- General Biochemistry, Genetics and Molecular Biology