The digital age is revolutionising cancer care; artificial intelligence and genomics are driving a new era in diagnoses and treatments. This year, the National Cancer Institute reported that AI systems diagnosed cancerous tumours more precisely than human radiologists; 94% was recorded. Artificial Intelligence (AI) and machine learning enable computers to promptly process vast amounts of medical data, from radiology scans to pathology reports.
For instance, a study just recently found that AI algorithms can identify early-stage lung cancer from CT scans at a surprisingly high accuracy level, which lowers the level of missed diagnoses. We speak with Dr Deepak Jha, Chief of Breast Surgery and Senior Consultant in Surgical Oncology at Artemis Hospitals, more on how these advancements help benefit patients from early-stage intervention, individualised therapies, and home-based care—a move toward improved patient outcomes and quality of life. The models, Dr Jha says, are also being trained to predict cancer progression.
“Analysing thousands of patients and the various data helps with the prediction of the nature in which a cancer type might behave under certain conditions,” he says. Cancer patients are often burdened with multiple processes and toxic treatments that fall outside the necessity of their therapy. With advancements, this has been simplified for good.
Dr Jha says that oncologists can now personalise treatment considering the possible behaviour of a specified kind.