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Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings
| Autor principal: | |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713510/ https://www.ncbi.nlm.nih.gov/pubmed/36467561 http://dx.doi.org/10.3389/frai.2022.510483 |
| _version_ | 1784842030503952384 |
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| author | Beck, Hans-Peter |
| author_facet | Beck, Hans-Peter |
| author_sort | Beck, Hans-Peter |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9713510 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97135102022-12-02 Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings Beck, Hans-Peter Front Artif Intell Artificial Intelligence Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9713510/ /pubmed/36467561 http://dx.doi.org/10.3389/frai.2022.510483 Text en Copyright © 2022 Beck. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Artificial Intelligence Beck, Hans-Peter Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title | Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title_full | Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title_fullStr | Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title_full_unstemmed | Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title_short | Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| title_sort | digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings |
| topic | Artificial Intelligence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713510/ https://www.ncbi.nlm.nih.gov/pubmed/36467561 http://dx.doi.org/10.3389/frai.2022.510483 |
| work_keys_str_mv | AT beckhanspeter digitalmicroscopyandartificialintelligencecouldprofoundlycontributetomalariadiagnosisineliminationsettings |