Harvard Pilgrim Health Care
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Ethical practice in Telehealth and Telemedicine
Danielle Hahn Chaet, Ron Clearfield, James E. Sabin et al.
2017 · 321 Zit.
Using Machine Learning to Identify Health Outcomes from Electronic Health Record Data
Jenna Wong, Mara E. Murray Horwitz, Li Zhou et al.
2018 · 116 Zit.
Use of Generative AI for Mental Health Advice Among US Adolescents and Young Adults
Ryan K. McBain, Robert Bozick, Melissa Kay Diliberti et al.
2025 · 9 Zit.
Flying Into the Future With Large Language Models
Sanjat Kanjilal
2023 · 5 Zit.
Adoption of Artificial Intelligence in the Health Care Sector
Thủy Nguyễn, Christopher Whaley, Kosali Simon et al.
2025 · 4 Zit.
The Role of Health Data Utilities in Supporting Health AI
Ahmad Alkasir, Gabriel Seidman, Jolie Ritzo et al.
2024 · 3 Zit.
A Scoping Review of Risk Presentation in Patient Decision Aids: Communicating Risk in Imaging
Trey A. Baird, Melissa Previtera, Samuel L. Brady et al.
2024 · 3 Zit.
PBI40 ICD-9 TO ICD-10 MAPPING FOR RESEARCH IN BIOLOGICS AND BIOSIMILARS USING ADMINISTRATIVE HEALTHCARE DATA
Mengdong He, Adrian J. Santiago Ortiz, N. Justin Marshall et al.
2019 · 2 Zit.
Blockchain in Health - From Pilots to Mainstream and Implications for AI
Sathya Krishnasamy, Badri Narayanan, Atul Apte et al.
2024 · 0 Zit.
Balancing Innovation in Artificial Intelligence With Practical Sepsis Definitions
Chanu Rhee, Michael Klompas
2025 · 0 Zit.
Evidence on the Utility and Limitations to Using AI for Personalized Drug Safety Prediction
Jason C. Hsu, Christine Y. Lu
2022 · 0 Zit.
A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data
Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.
2025 · 0 Zit.
A Systematic Process for Assessing Fitness‐for‐Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record Data
Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.
2026 · 0 Zit.