In the second episode of OnkChats, doctors Toufic A. Kachaamy from City of Hope and Douglas Flora from St. Elizabeth Healthcare discuss the potential of artificial intelligence (AI) tools in the field of oncology and how they can be utilized […]
In the second episode of OnkChats, doctors Toufic A. Kachaamy from City of Hope and Douglas Flora from St. Elizabeth Healthcare discuss the potential of artificial intelligence (AI) tools in the field of oncology and how they can be utilized to provide personalized care.
AI tools offer the ability to analyze vast amounts of complex data in oncology, such as genomics, phenomics, imaging, and pathology, with the goal of processing this data and transforming it into valuable insights for oncologists. This enables advancements in the diagnosis and treatment of various types of cancer and heterogeneous tumors.
Is AI in oncology different from AI in other fields? According to Dr. Flora, some AI tools, like machine learning and natural language processing, are universally applicable in many disciplines. However, oncology stands out due to its high degree of heterogeneity, encompassing diverse types of cancer and tumors within the same cancer type. Therefore, the integration of AI tools is particularly beneficial for oncologists in analyzing complex data and converting it into actionable information.
Dr. Flora emphasizes that oncology is at the forefront of AI implementation but expects these tools to be employed in other medical fields in the future. Nevertheless, this development is particularly exciting for oncologists as it has the potential to expedite the diagnostic and treatment processes while reducing the complexity of the disease.
This new technology also brings significant changes to the field of precision medicine, particularly in oncology. Artificial intelligence plays a crucial role in analyzing the vast amount of data that doctors must process within a limited time frame when interacting with patients. Diagnosis is based on comprehensive information, including electronic medical records, pathological reports, images, and unique patient characteristics. The objective is to personalize care through a more efficient and holistic approach.
Stay tuned for the next episode of the series, coming on Monday.