Title: The Role of Artificial Intelligence in Improving Ovarian Cancer Diagnosis and Treatment
Artificial intelligence (AI) has become an integral tool in the medical field, aiding in the extraction of valuable information from a variety of sources such as medical and pathological images, as well as genomics, transcriptomics, proteomics, and metabolomics data. The extensive utilization of AI has led to significant advancements in the diagnosis and treatment of ovarian cancer (OC), particularly in the differentiation between benign and malignant tumors, and in prognostic assessment. AI-based radiomics, in particular, has emerged as a non-invasive, convenient, and cost-effective approach, playing a crucial role in gynecological settings.
This blog post delves into the application of AI in diagnosing, differentiating, and prognostically assessing OC. The integration of AI-based multi-omics studies shows promise in enhancing the diagnostic and prognostic predictive capabilities for OC patients, ultimately contributing to the realization of precision medicine. These developments mark a significant step forward in improving the treatment and outcomes for individuals affected by OC.
Priyam Gera