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Artificial Intelligence: Revolutionizing Radiation Oncology

Summary

Artificial Intelligence (AI) is increasingly making its mark in the field of radiation oncology, offering the potential to transform diagnostic and therapeutic approaches. Dr. Richard Bakst from the Mount Sinai Medical Center, in an interview with CancerNetwork®, explained the impact […]

Artificial Intelligence: Revolutionizing Radiation Oncology

Artificial Intelligence (AI) is increasingly making its mark in the field of radiation oncology, offering the potential to transform diagnostic and therapeutic approaches. Dr. Richard Bakst from the Mount Sinai Medical Center, in an interview with CancerNetwork®, explained the impact of AI in radiology and how it can enhance patient care and medical practices.

Bakst, a radiation oncologist, emphasized that AI has a significant influence on diagnostic radiology, particularly in lung cancer screening and result interpretation assistance. It was also mentioned that AI has an expanding role in therapeutic radiology, where its ability to detect microscopic disease on images and assist in contouring normal structures shows exceptional potential for optimizing treatment planning.

When it comes to the future, Bakst believes that AI will become a valuable tool in radiation therapy, impacting volume design, assessing the risk of microscopic disease, and aiding in tumor elimination. The integration of AI is expected to significantly enhance the accuracy and efficiency of cancer treatment.

With the ability to detect subtle irregularities, optimize treatment planning, and improve targeting precision, AI is poised to have a substantial impact on the field of radiology.

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