FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries
People in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking help. This paper explores how artificial intelligence (AI) and...
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| Format: | Article |
| Language: | English |
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Bioscientifica
2025-08-01
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| Series: | Reproduction and Fertility |
| Subjects: | |
| Online Access: | https://raf.bioscientifica.com/view/journals/raf/6/3/RAF-24-0077.xml |
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| _version_ | 1849330502881771520 |
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| author | Gerardo Mendizabal-Ruiz Omar Paredes Ernesto Borrayo Alejandro Chavez-Badiola |
| author_facet | Gerardo Mendizabal-Ruiz Omar Paredes Ernesto Borrayo Alejandro Chavez-Badiola |
| author_sort | Gerardo Mendizabal-Ruiz |
| collection | DOAJ |
| description | People in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking help. This paper explores how artificial intelligence (AI) and automation could help overcome some of these barriers and make fertility treatments more widely available. It examines how AI may improve the accuracy, efficiency, and consistency of different steps in fertility treatments, such as choosing the healthiest embryos, analyzing sperm, evaluating eggs, and planning treatment. The paper also discusses how automation could simplify laboratory procedures, from growing embryos and freezing them for future use to the possibility of fully automating the in vitro fertilization (IVF) process, which could help lower costs and make these treatments more accessible. Finally, this paper addresses the ethical and practical challenges associated with using these technologies, including potential biases in AI, equitable access, quality control, data privacy, job implications, and cultural sensitivities. |
| format | Article |
| id | doaj-art-d21f86394bdf40799e5a7cfdda3ce454 |
| institution | Kabale University |
| issn | 2633-8386 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Bioscientifica |
| record_format | Article |
| series | Reproduction and Fertility |
| spelling | doaj-art-d21f86394bdf40799e5a7cfdda3ce4542025-08-20T03:46:54ZengBioscientificaReproduction and Fertility2633-83862025-08-016310.1530/RAF-24-00771FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countriesGerardo Mendizabal-Ruiz0Omar Paredes1Ernesto Borrayo2Alejandro Chavez-Badiola3Conceivable Life Sciences, New York, USALaboratorio de Innovación Biodigital, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, MexicoLaboratorio de Innovación Biodigital, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, MexicoConceivable Life Sciences, New York, USAPeople in low- and middle-income countries face many obstacles when trying to access fertility treatments. These challenges include high costs, the need for specialized medical facilities, and cultural beliefs that may discourage seeking help. This paper explores how artificial intelligence (AI) and automation could help overcome some of these barriers and make fertility treatments more widely available. It examines how AI may improve the accuracy, efficiency, and consistency of different steps in fertility treatments, such as choosing the healthiest embryos, analyzing sperm, evaluating eggs, and planning treatment. The paper also discusses how automation could simplify laboratory procedures, from growing embryos and freezing them for future use to the possibility of fully automating the in vitro fertilization (IVF) process, which could help lower costs and make these treatments more accessible. Finally, this paper addresses the ethical and practical challenges associated with using these technologies, including potential biases in AI, equitable access, quality control, data privacy, job implications, and cultural sensitivities.https://raf.bioscientifica.com/view/journals/raf/6/3/RAF-24-0077.xmlautomationin vitro fertilizationartartificial intelligencestandardization |
| spellingShingle | Gerardo Mendizabal-Ruiz Omar Paredes Ernesto Borrayo Alejandro Chavez-Badiola FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries Reproduction and Fertility automation in vitro fertilization art artificial intelligence standardization |
| title | FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries |
| title_full | FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries |
| title_fullStr | FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries |
| title_full_unstemmed | FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries |
| title_short | FERTILITY CARE IN LOW- AND MIDDLE- INCOME COUNTRIES: The future use of AI to improve accessibility of assisted reproductive technology in low- and middle-income countries |
| title_sort | fertility care in low and middle income countries the future use of ai to improve accessibility of assisted reproductive technology in low and middle income countries |
| topic | automation in vitro fertilization art artificial intelligence standardization |
| url | https://raf.bioscientifica.com/view/journals/raf/6/3/RAF-24-0077.xml |
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