What Are the Challenges of Using AI and ML in Cancer Research?
While AI and ML hold great promise, several challenges need to be addressed. One of the major issues is data privacy and security. Medical data is highly sensitive, and ensuring its confidentiality is paramount. Another challenge is the quality and variability of data. AI systems require large amounts of high-quality data to function effectively, and inconsistencies in data can lead to inaccurate predictions. Additionally, there is a need for interdisciplinary collaboration between oncologists, data scientists, and engineers to develop effective AI tools for cancer research.
