- APID
- 12798
- ORCID
- 0009-0008-1865-2855
- Google Scholar
- PLHRySMAAAAJ
- Location
- delhi, delhi, India
- Expertise
- aI, WOMEN HEALTH, IVF, IUI, ICSI, PREDICTIVE MODELLING, EMBRYO ASSESMENT, COMPUTER SCIENCE AND ENGINEERING
- Areas of interest
- AI, COMPUTER SCIENCE AND ENGINEERING, HEALTH CARE
- Member since
- May 2026
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Sign inPublications
- A Hybrid Model to Study the Demographic profile of Women in view of Assisted Reproductive Techniques through Machine Learning Models
- A Review of AI Research and Development
- A Review of Steganography Research and Development
- A Review on The Role of Machine Learning Models in predicting In-Vitro Fertilization/Assisted Reproductive Technology Success
- A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
- Rethinking Fertility Care: A Conceptual Framework for Machine Learning– Driven Assisted Reproductive Technology