• Nirbhay Kumar Mishra
• Dr. Praveen Kumar

Breast cancer is still a major concern worldwide because it affects making a diagnosis, receiving treatment and recovering long term. Ultrasonic exams now supported with machine learning can spot and keep track of changes in the heart more effectively. Still, problems related to the psychological impact of the disease and how its treatments affect patients’ daily lives are very important for the outcomes. The paper looks at these issues by emphasizing that there is a need for better ways to diagnose, a personalized method of treatment and conducting more studies about rare breast cancers. It is important for future investigations to focus on better testing techniques and caring for the whole person to aid better recovery and a healthy life.

Breast cancer, diagnostic methods, machine learning, psychosocial factors, quality of life, personalized care.

"AI-Driven Breast Cancer Diagnosis and Holistic Care: A Sustainable Approach to Detection and Recovery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.e397-e403, September-2025, Available :http://www.jetir.org/papers/JETIR2509445.pdf

"AI-Driven Breast Cancer Diagnosis and Holistic Care: A Sustainable Approach to Detection and Recovery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppe397-e403, September-2025, Available at : http://www.jetir.org/papers/JETIR2509445.pdf