AI and Women's Health: Innovations in Diagnosis and Treatment
Abstract
Artificial intelligence (AI) is advancing women's health by improving the diagnosis and treatment of conditions unique to women. This paper reviews AI applications in detecting and managing diseases such as breast cancer, ovarian cancer, and endometriosis. We highlight case studies where AI has enhanced diagnostic accuracy, personalized treatment plans, and predicted disease progression. The paper also discusses challenges such as data privacy, algorithm bias, and integration with clinical practice. Future research directions are proposed to maximize the benefits of AI in women's health, aiming to improve health outcomes and quality of care.
References
Reddy, M. S., Sarisa, M., Konkimalla, S., Bauskar, S. R., Gollangi, H. K., Galla, E. P., & Rajaram, S. K. (2021). Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting. ESP Journal of Engineering & Technology Advancements, 1(2), 188-200.
Mahida, A., Mandala, V., Bauskar, S. R., Konkimalla, S., & Reddy, M. S. (2024). Real-Time Fraud Mitigation in Digital Payments: Big Data and AI-Driven Biometric Authentication. Nanotechnology Perceptions, 20, 1176-1193.
Madhavaram, C. R., Galla, E. P., Reddy, M. S., Sarisa, M., & Nagesh, V. (2021). Predicting Diabetes Mellitus in Healthcare: A Comparative Analysis of Machine Learning Algorithms on Big Dataset. Journal homepage: https://gjrpublication. com/gjrecs, 1(01).
Bauskar, S. R., Reddy, M. S., Sarisa, M., & KONKIMALLA, S. The Future of Cloud Computing_ Al-Driven Deep Learning and Neural Network Innovations. BUDHA PUBLISHER.
Konkimalla, S., SARISA, M., REDDY, M. S., & BAUSKAR, S. DATA ENGINEERING IN THE AGE OF AI GENERATIVE MODELS AND DEEP LEARNING UNLEASHED. BUDHA PUBLISHER.
Reddy, M., Konkimalla, S., Rajaram, S. K., Bauskar, S. R., Sarisa, M., & Sunkara, J. R. (2022). Using AI And Machine Learning To Secure Cloud Networks: A Modern Approach To Cybersecurity. Available at SSRN 5045776.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., & Sarisa, M. (2023). Sentiment Analysis of Customer Product Review Based on Machine Learning Techniques in E-Commerce. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-408. DOI: doi. org/10.47363/JAICC/2023 (2), 389(1), 7211-7224.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., Sarisa, M., & Reddy, M. S. (2024). An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques. Journal of Data Analysis and Information Processing, 12(4), 581-596.
Rajaram, S. K., Konkimalla, S., Sarisa, M., Gollangi, H. K., Madhavaram, C. R., & Reddy, M. S. (2023). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. ISAR Journal of Science and Technology, 1(2), 10-19.
Gummadi, V., Ramadevi, N., Udayaraju, P., Ravulu, C., Seelam, D. R., & Swamy, S. V. (2024, September). A Deep Learning-based Optimization Model for Advertisement Campaign. In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC) (pp. 1783-1790). IEEE.
Gummadi, V., Udayaraju, P., Kolasani, D., Kotaru, C., Sayana, R., & Neethika, A. (2024, December). NLP Based TAG Algorithm for Enhancing Customer Data Platform and Personalized Marketing. In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) (pp. 60-67). IEEE.
Mane, S., & Immidi, K. (2024). Strategic Insights and Best Practices for Upgrading to SAP S/4HANA: A Comprehensive Framework for Business Transformation. International Journal of Creative Research In Computer Technology and Design, 6(6).
Mane, S. (2024). Optimizing Returns and Refunds Management in SAP: Leveraging Data-Driven Insights and Advanced Automation. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-13.
Mane, S., & Immidi, K. (2023). Enhancing SAP Available-to-Promise (ATP) Capabilities through AI Integration: A Transformative Approach to Supply Chain Optimization. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-24.
Mane, S. (2023). Optimizing SAP Sales Order Processing: Strategies, Technologies, and Impact on Operational Efficiency. International Journal of Interdisciplinary Finance Insights, 2(2), 1-32.
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Artificial Intelligence-Driven Predictive Analytics for Educational Behavior Assessment. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/638
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Machine Learning Algorithms for Fraud Detection in Financial Transactions. International Journal of Sustainable Development in Computing Science, 2(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/639
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Deep Learning Techniques for Image Recognition in Autonomous Vehicles. (2021). International Meridian Journal, 3(3). https://meridianjournal.in/index.php/IMJ/article/view/94
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Integrating Machine Learning and Blockchain for Decentralized Identity Management Systems. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2). https://jmlai.in/index.php/ijmlai/article/view/46
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Blockchain-Based Secure Framework for IoT Data Management. International Journal of Sustainable Development in Computing Science, 4(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/640
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Optimizing Supply Chain Efficiency Through Blockchain and Smart Contracts. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/183
Adusumilli, S., Damancharla, H., & Metta, A. (2023). Enhancing Data Privacy in Healthcare Systems Using Blockchain Technology. Transactions on Latest Trends in Artificial Intelligence, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/637
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2021). AI-Powered Cybersecurity Solutions for Threat Detection and Prevention. International Journal of Creative Research In Computer Technology and Design, 3(3).
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2020). Leveraging AI for Real-Time Sentiment Analysis in Social Media Networks. International Numeric Journal of Machine Learning and Robots, 4(4).
Krutthika H. K. & A.R. Aswatha. (2021). Implementation and analysis of congestion prevention and fault tolerance in network on chip. Journal of Tianjin University Science and Technology, 54(11), 213–231. https://doi.org/10.5281/zenodo.5746712
Krutthika H. K. & A.R. Aswatha. (2020). FPGA-based design and architecture of network-on-chip router for efficient data propagation. IIOAB Journal, 11(S2), 7–25.
Krutthika H. K. & A.R. Aswatha (2020). Design of efficient FSM-based 3D network-on-chip architecture. International Journal of Engineering Trends and Technology, 68(10), 67–73. https://doi.org/10.14445/22315381/IJETT-V68I10P212
Krutthika H. K. & Rajashekhara R. (2019). Network-on-chip: A survey on router design and algorithms. International Journal of Recent Technology and Engineering, 7(6), 1687–1691. https://doi.org/10.35940/ijrte.F2131.037619
S. Ajay, et al., & Krutthika H. K. (2018). Source hotspot management in a mesh network-on-chip. 22nd International Symposium on VLSI Design and Test (VDAT-2018). https://doi.org/10.1007/978-981-13-5950-7_51
Krutthika Hirebasur Krishnappa, Hiremath, M. M., & Manasa, R. (2024). Semiconductor fault diagnosis using deep learning-based domain adaptation. International Journal of Intelligent Systems and Applications in Engineering, 12(9s). DOI: https://ijisae.org/index.php/IJISAE/article/view/4333
Shashidhar, R., Balivada, D., Shalini, D. N., Krutthika Hirebasur Krishnappa, & Roopa, M. (2023). Music emotion recognition using convolutional neural networks for regional languages. 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 1–7. DOI: 10.1109/AIKIIE60097.2023.10390450
Shashidhar, R., Aprameya, C. V., Bharadwaj, R. R., Gontamar, S. M., & Krutthika Hirebasur Krishnappa. (2023). Seismic signal processing and aftershock analysis using machine learning. 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET), 1–9. DOI: 10.1109/ICRASET59632.2023.10420268.
Mettikolla, P. (2023). Familial Hypertrophic Cardiomyopathy and Sustainable Healthcare: Genetic Insights, Clinical Implications, and Future Therapeutic Strategies for Global Health. International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-25.
Mettikolla, P., Balammal, G., & Meena, D. (2022). The effect of sun light exposure on prediabetic patients in tamil nadu population. International Journal of Pharmaceutical Research and Life Sciences, 10(2), 30-35.
Mettikolla, P., & Umasankar, K. (2019). Epidemiological analysis of extended-spectrum β-lactamase-producing uropathogenic bacteria. International Journal of Novel Trends in Pharmaceutical Sciences, 9(4), 75-82.
Dr. Prasad Mettikolla, Dr. T. Sunil Kumar Reddy, & Dr. G. Balammal. (2024). EXPLORING COX-1 AND COX-2 INHIBITION POTENTIAL OF AMBERBOA DIVARICATA AERIAL PARTS THROUGH IN-SILICO AND IN-VITRO STUDIES. Journal of Population Therapeutics and Clinical Pharmacology, 31(11), 292-298.
Dr. A. Saravana Kumar Dr. Prasad Mettikolla.(2014). IN VITRO ANTIOXIDANT ACTIVITY ASSESSMENT OF CAPPARIS ZEYLANICA FLOWERS. International Journal of Phytopharmacology, 5(6), 496-501.
Dr. R. Gandhimathi Dr. Prasad Mettikolla.(2015). EVALUATION OF ANTINOCICEPTIVE EFFECTS OF MELIA AZEDARACH LEAVES. International Journal of Pharmacy, 5(2), 104-108.
G. Sangeetha Dr. Prasad Mettikolla.(2016). ASSESSMENT OF IN VITRO ANTI-DIABETIC PROPERTIES OF CATUNAREGAM SPINOSA EXTRACTS. International Journal of Pharmacy Practice & Drug Research, 6(2), 76-81.
