Research on artificial intelligence, machine and deep learning in medicine: global characteristics, readiness, and equity
The results show the need for advanced global networking to ensure all relevant aspects for equitable development and the beneficial use of AI<sub>med</sub> without promoting racial or regional inequities and to enforce this not only in the AI systems of economically strong countries but also for the participation of economically weaker countries.
Authors
- Doris Klingelhöfer (ORCID: https://orcid.org/0000-0003-0716-9872)
- David Alexander Groneberg (ORCID: https://orcid.org/0000-0001-8551-6556)
- Janis Dröge (ORCID: https://orcid.org/0000-0002-4990-3396)
- Markus Braun (ORCID: https://orcid.org/0000-0003-3393-2851)
- Dörthe Brüggmann (ORCID: https://orcid.org/0000-0002-4799-3391)
Institutions
- Goethe University Frankfurt (DE)
Publication Details
- Journal
- Globalization and Health
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1186/s12992-025-01128-1
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65