Employing AI tools to predict features for dental care use in the United States during the global respiratory illness outbreak.
Saved in:
| Title: | Employing AI tools to predict features for dental care use in the United States during the global respiratory illness outbreak. |
|---|---|
| Authors: | Zanwar PP; Center for Health and Social Sciences, University of Chicago, Chicago, IL, United States.; Texas A&M University Health, Irma Lerma Rangel College of Pharmacy, College Station/Kingsville, TX, United States., Kohan-Ghadr HR; SysBioSolutions LLC, Portage, MI, United States., Thirumalai V; HealthPartners Institute, Minneapolis, MN, United States., Ghaddar S; University of Texas Rio Grande Valley, Edinburg, TX, United States., Huang SJ; Institute for Health Computing, University of Maryland, North Bethesda, MD, United States., Harkness B; Inova Health System, Fairfax, VA, United States., Rey E; NEIO Systems LLC, Los Angeles, CA, United States., Shah R; Schulich School of Medicine and Dentistry, Western University, London, ON, Canada., Kurelli SR; University of Texas Austin, Sugar Land, TX, United States., Patel JS; Temple University Kornberg School of Dentistry, Philadelphia, PA, United States., Calzoni L; University of Pittsburgh, Pittsburgh, PA, United States., Dede Yildirim E; National Institutes on Minority Health and Health Disparities, Bethesda, MD, United States., Duran DG; National Institutes on Minority Health and Health Disparities, Bethesda, MD, United States. |
| Source: | Frontiers in public health [Front Public Health] 2026 Jan 13; Vol. 13, pp. 1692540. Date of Electronic Publication: 2026 Jan 13 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2296-2565 |
|---|---|
| DOI: | 10.3389/fpubh.2025.1692540 |