Artificial Intelligence in Cancer – Digital Workforce Powering Cancer Diagnosis
In order to accurately diagnose a patient’s condition, Artificial Intelligence (AI) requires data mining method and pattern recognition. Neural networks process information by identifying patterns and data previously loaded into the system. Global artificial intelligence market includes 35% share of drug discovery and medical imaging which is likely to go up to 40% that will amount to USD 2.5 billion by 2024.
This is possible because of AI’s ability to recognize drug targets and help to instantly model, discover, recognize and monitor molecules. Medical imaging, on the other hand, is one of the main areas of application that has led to a better diagnosis of cancer and tumors using AI. It is based primarily on the recognition of patterns that work effectively using deep learning techniques.
Current Challenges in Cancer Diagnosis & Treatment
Novel and more sensitive biomarkers
Optimization and streamlining of clinical workflows
Identification of tumors types
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