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  2. Vol 28, No 11 (2024)
  3. Masilamani

Leveraging artificial intelligence for advancements in reproductive health

Vaageessan Masilamani(1), Ragothaman Bharathyuvaraj(2), Velayudam Ramalingam Elangovan(3), Hema Ramji(4), Mohanraj Subramanian(5), Murthy Saravanan(6), Devaraj Jothimani(7), Fenn Moses(8), Mani Megalai(9), Venu Gopal(10), Samuel Duraivel(11),


(1) Department of Multimedia, VIT School of Media, Arts and Technology (VSMART), Vellore Institute of Technology, Vellore, Tamil Nadu, India
(2) Department of Multimedia, VIT School of Media, Arts and Technology (VSMART), Vellore Institute of Technology, Vellore, Tamil Nadu, India
(3) Faculty of Science and Humanities, SRMIST Institute of Science and Technology, Chennai, Tamil Nadu, India
(4) Department of Computer Science, SDNB Vaishnav College for Women, Chennai, Tamil Nadu, India
(5) Department of Humanities, Presidency College (Autonomous), Bangalore, Karnataka, India
(6) School of Media Technology and Communication, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
(7) Department of Visual Communication, Agurchand Manmull Jain College, Chennai, Tamil Nadu, India
(8) Department of Visual Communication, Agurchand Manmull Jain College, Chennai, Tamil Nadu, India
(9) Department of Gynecological Nursing, Jubilee Mission College of Nursing, Bangalore, Karnataka, India
(10) Department of Media Sciences, CEG–Anna University, Tamil Nadu, India
(11) Department of Social Research, Loyola Institute of Social Research, Tamil Nadu, India
Corresponding Author

Abstract


We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI offers an unprecedented opportunity to transform how we diagnose, treat, and improve access to reproductive services, especially in underserved communities. AIdriven tools, supported by machine learning and big data analytics, are already demonstrating their potential in enhancing outcomes in reproductive health. These tools can predict fertility outcomes with impressive accuracy, optimize in vitro fertilization (IVF) success rates, and identify early signs of reproductive disorders, such as endometriosis, polycystic ovary syndrome (PCOS), and ovarian cancer. By analyzing biomarkers, medical histories, and lifestyle factors, AI algorithms empower healthcare providers to deliver personalized and effective treatment plans tailored to individual needs.

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