Integrated Technology for Carcinoma Detection

Globally, cancer ranks as the second most common cause of death. Around 10 million people worldwide will lose their lives to cancer in 2020, according to a World Health Organization (WHO) assessment. The most prevalent gynecological cancer among Indian women is ovarian cancer. Every typical woman has two ovaries, one on each side of the uterus. Ovaries are a component of the female reproductive system. Due to the lack of appropriate signs for detection, the risk of ovarian cancer increases starting at age 35 and peaks between the ages of 55 and 64. With a 45% 5-year survival rate, it has the poorest prognosis of any gynecological malignancy. Effective therapy and halting the spread of cancer cells to other body areas depend heavily on early identification of ovarian cancer. Two recent technical developments in early cancer diagnosis are artificial intelligence (AI) and nanotechnology. Using nanoparticles to apply nanoscience to medicine is known as nanotechnology. AI is also useful in nanomedicine design since it optimizes material qualities. High standards of health care management must be attained by making prompt judgments based on informatics analysis, intelligent data analysis, and quick diagnostics in order to deliver higher-quality healthcare in early diagnoses. Here, we examine and highlight artificial intelligence techniques based on nanotechnology.