News

 Statistics

Number of Journals34
Number of Issues1,306
Number of Articles9,427
Article View9,188,652
PDF Download5,620,943
Peymanian, M. (2024). The Role of Optical and Laser Technologies in Advancing Reproductive Health Diagnosis and Family Planning. Electronic and Cyber Defense, 2(2), 131-143.
MohammadHossein Peymanian. "The Role of Optical and Laser Technologies in Advancing Reproductive Health Diagnosis and Family Planning". Electronic and Cyber Defense, 2, 2, 2024, 131-143.
Peymanian, M. (2024). 'The Role of Optical and Laser Technologies in Advancing Reproductive Health Diagnosis and Family Planning', Electronic and Cyber Defense, 2(2), pp. 131-143.
Peymanian, M. The Role of Optical and Laser Technologies in Advancing Reproductive Health Diagnosis and Family Planning. Electronic and Cyber Defense, 2024; 2(2): 131-143.

The Role of Optical and Laser Technologies in Advancing Reproductive Health Diagnosis and Family Planning

فصلنامه جمعیت و پیشرفت
Article 5, Volume 2, Issue 2 - Serial Number 4, June 2024, Pages 131-143    PDF (382.37 K)
Document Type: Case study
Author
MohammadHossein Peymanian*
PhD student in Optics and Lasers, Faculty of Basic Sciences, Imam Hossein University, Tehran, Iran
Receive Date: 29 April 2024,  Revise Date: 05 June 2024,  Accept Date: 23 June 2024 
Abstract
The integration of optical and laser technologies has significantly revolutionized reproductive health diagnostics and family planning, offering innovative, non-invasive, and highly accurate solutions. This article reviews the advances and applications of these technologies, including optical coherence tomography (OCT), ultrashort laser pulses, and artificial intelligence-powered diagnostic tools, in addressing critical challenges in reproductive health. Optical imaging systems offer unparalleled resolution and real-time insight into reproductive structures, enabling early diagnosis of conditions such as endometriosis, fibroids, and infertility. Laser-assisted techniques, such as embryo hatching and sperm selection, have increased the success rate of assisted reproductive technologies (ART) by improving implantation efficiency and reducing damage to biological materials. Despite these advances, challenges remain, including high implementation costs, the need for specialized training, and limited access in low-income settings. Ethical concerns, particularly around AI-based systems for embryo selection and fertility tracking, underscore the need for robust regulatory frameworks.

The integration of AI with optical and laser tools further expands diagnostic capabilities, offering predictive analytics and personalized solutions. The article also discusses the future potential of these technologies, including their convergence with nanotechnology, robotics, and regenerative medicine. affordable solutions are identified as key to bridging access gaps, while multidisciplinary collaboration is essential to address regulatory and ethical challenges. This article highlights the transformative potential of optical and laser technologies in reproductive health, emphasizing their role in transforming diagnosis, improving treatment outcomes, and fostering equitable access to advanced healthcare solutions.
Keywords
Optical coherence tomography; laser-assisted reproductive health; assisted reproductive technologies; artificial intelligence in diagnostics; reproductive healthcare innovation
References

Acharya, B., Behera, A., Behera, S., & Moharana, S. (2024). Recent advances in nanotechnology-based drug delivery systems for the diagnosis and treatment of reproductive disorders. ACS Applied Bio Materials.

Boydell, V., & Dow, K. (2021). Adjusting the analytical aperture: Propositions for an integrated approach to the social study of reproductive technologies. Biosocieties.

Duane, M. R., Stanford, J., Porucznik, C., & Vigil, P. (2022). Fertility awareness-based methods for women's health and family planning. Frontiers in Medicine.

Etrusco, A., Buzzaccarini, G., et al. (2024). Use of diode laser in hysteroscopy for the management of intrauterine pathology: A systematic review. Diagnostics.

Homanen, R., McBride, N., & Hudson, N. (2024). Artificial intelligence and assisted reproductive technology: Applying a reproductive justice lens. European Journal of Women’s Studies.

Ilina, I., & Sitnikov, D. (2021). From zygote to blastocyst: Application of ultrashort lasers in assisted reproduction and developmental biology. Diagnostics.

Medenica, S., Zivanovic, D., et al. (2022). Artificial intelligence in the treatment of infertility could improve assisted reproduction outcomes. Diagnostics.

Pareek, C., Gajbe, U. L., Bawaskar, P. A., Bandre, G. R., & Badge, A. K. (2023). Laser-guided sperm selection: Optimizing the reproductive success rate in assisted reproductive technology.

Umezu, K., & Larina, I. (2022). Optical coherence tomography for dynamic investigation of mammalian reproductive processes. Molecular Reproduction and Development.

Heidari-Khoei, H., Esfandiari, F., Hajari, M.A. et al. Organoid technology in female reproductive biomedicine. Reprod Biol Endocrinol 18, 64 (2020).

Mapari SA, Shrivastava D, Bedi GN, Pradeep U, Gupta A, Kasat PR, Sachani P. Revolutionizing Reproduction: The Impact of Robotics and Artificial Intelligence (AI) in Assisted Reproductive Technology: A Comprehensive Review. Cureus. 2024 Jun 24;16(6):e63072.

Statistics
Article View: 170
PDF Download: 30