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학술논문품질경영학회지2026.03 발행

책임형 인공지능 기반 페믹테크(FemTech): 비침습적 월경 진단에서의 ESG·SDG·사용품질(QoU) 통합 프레임워크

Responsible AI-Driven FemTech: Integrating ESG, SDG, and Quality-of-Use in Non-Invasive Menstrual Diagnostics

황혜민(서울과학종합대학원대학교 AI빅데이터); 김강희(LG화학 생명과학본부)

54권 1호, 61~82쪽

초록

Purpose: MenstruAI, a Responsible AI–driven FemTech framework that combines artificial intelligence, non-invasive biosensing, biomimetic material design, and sustainability governance aligned with Environmental, Social, and Governance (ESG) principles and Sustainable Development Goals (SDGs) of the UN, is the goal of this study. Considering that menstrual blood contains diagnostically relevant biochemical and molecular biomarkers, the framework aims to advance ethical, transparent, and sustainable menstrual- health diagnostics through the integration of Responsible AI, digital quality management, and equitable innovation principles.Methods: The MenstruAI framework was developed using a conceptual research design that synthesizes literature across biomedical AI, biomimetic biosensor engineering, Responsible AI governance, Quality 4.0, and ESG–SDG innovation. Five steps made up the methodological process: (1) conducting a systematic literature review; (2) conducting a conceptual synthesis; (3) creating an integrated framework; (4) using evidence from previous studies to apply proxy validation; and (5) formalizing the Quality of Use (QoU) construct. This approach enabled theory-building without generating new clinical datasets.Results: How principles of Responsible AI including fairness, explainability, and privacy-by-design were shown by the MenstruAI framework. It can be incorporated into menstrual diagnostic workflows. Trustworthiness, data integrity, and ethical supervision can all be improved by this embrace. The technical viability of combining biosensing and lightweight AI models is indirectly supported by evidence from earlier research. Mapping MenstruAI to ESG–SDG objectives demonstrates alignment with SDG 3 (Good Health and Well-being) and SDG 5 (Gender Equality), while elements of Quality 4.0 strengthen traceability, continuous improvement, and operational consistency.Conclusion: Responsible AI serves as the governance foundation for next-generation FemTech. MenstruAI provides a path toward transparent and socially conscious menstrual diagnostics by integrating ethics, sustainability, and digital quality management. Responsibly designed menstrual health technologies have the potential to support user autonomy, advance public health equity and promote inclusive precision medicine.

Abstract

Purpose: MenstruAI, a Responsible AI–driven FemTech framework that combines artificial intelligence, non-invasive biosensing, biomimetic material design, and sustainability governance aligned with Environmental, Social, and Governance (ESG) principles and Sustainable Development Goals (SDGs) of the UN, is the goal of this study. Considering that menstrual blood contains diagnostically relevant biochemical and molecular biomarkers, the framework aims to advance ethical, transparent, and sustainable menstrual- health diagnostics through the integration of Responsible AI, digital quality management, and equitable innovation principles.Methods: The MenstruAI framework was developed using a conceptual research design that synthesizes literature across biomedical AI, biomimetic biosensor engineering, Responsible AI governance, Quality 4.0, and ESG–SDG innovation. Five steps made up the methodological process: (1) conducting a systematic literature review; (2) conducting a conceptual synthesis; (3) creating an integrated framework; (4) using evidence from previous studies to apply proxy validation; and (5) formalizing the Quality of Use (QoU) construct. This approach enabled theory-building without generating new clinical datasets.Results: How principles of Responsible AI including fairness, explainability, and privacy-by-design were shown by the MenstruAI framework. It can be incorporated into menstrual diagnostic workflows. Trustworthiness, data integrity, and ethical supervision can all be improved by this embrace. The technical viability of combining biosensing and lightweight AI models is indirectly supported by evidence from earlier research. Mapping MenstruAI to ESG–SDG objectives demonstrates alignment with SDG 3 (Good Health and Well-being) and SDG 5 (Gender Equality), while elements of Quality 4.0 strengthen traceability, continuous improvement, and operational consistency.Conclusion: Responsible AI serves as the governance foundation for next-generation FemTech. MenstruAI provides a path toward transparent and socially conscious menstrual diagnostics by integrating ethics, sustainability, and digital quality management. Responsibly designed menstrual health technologies have the potential to support user autonomy, advance public health equity and promote inclusive precision medicine.

발행기관:
한국품질경영학회
DOI:
http://dx.doi.org/10.7469/JKSQM.2026.54.1.61
분류:
학제간연구

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책임형 인공지능 기반 페믹테크(FemTech): 비침습적 월경 진단에서의 ESG·SDG·사용품질(QoU) 통합 프레임워크 | 품질경영학회지 2026 | AskLaw | 애스크로 AI