Behind the Scenes of Radiology: How Images Shape Healthcare

Jessie Z -

Greetings to all,

I’m Jessie Zhang, planning on interning in radiology at Mayo Clinic’s Scottsdale campus (https://college.mayo.edu/campus-and-community/arizona/locations/#scottsdale). Radiology is often an overlooked physician specialty, but it certainly remains one of the most important in the medical field. In every aspect of healthcare, we rely on radiology–from monitoring patients’ health status, to formulating treatment plans, to providing early diagnosis. Even with the discovery of capillaries and the identification of tumors, medicine has reached where it is today largely due to advanced imaging techniques. What’s more, advancements in radiology have in no form reached a stopping point. The prospects of this field continue to exponentially expand. Currently, deep tissue imaging holds my greatest interest as it allows us to not only see cells dividing within tumors but also how our bodies respond to drugs in real time. By combining cutting-edge imaging technologies with regenerative therapies, researchers are able to visualize the repair process concurrently and in significant detail—tracking cellular changes, tissue growth, and the effectiveness of treatments.

However, as expected, there are still numerous challenges involved with imaging in radiology, the main one being data processing. How can researchers find new ways to organize and process all the extensive data so that deep tissue imaging technology can reach its fullest potential in the field of healthcare? While interning at Mayo Clinic, I will study all aspects of medical 3D printing, gaining exposure to the timely production of high quality 3D anatomic models for use in surgical planning. I hope that through this internship, I can gain more insight into the issues surrounding data processing and perhaps even contribute to finding solutions to overcome those challenges.

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Comments:

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    mahalena_g
    Hi Jessie! I'm excited to see what insights you gain from your internship at Mayo Clinic and how your research could help improve data processing in radiology!
    bhavitha_s
    Hi Jessie! I'm so excited to see where your internship takes you! Radiology, as you said, is a vast field--is there something about medical 3D printing specifically that drew your attention to it?
    jessie_z
    Hi Bhavitha! I was most drawn to the intersection between radiology and regenerative medicine, where precise delivery of therapeutic agents (like stem cells or growth factors) to the site of injury or degeneration is most critical. I admire how interventional radiology techniques allow for the accurate, minimally invasive administration of these therapies under real-time imaging guidance.
    valerie_p
    Hi Jessie! I'm so excited to learn more about radiology through your project. I think it'll be insightful to learn how the data is actually organized into usable models because what is data after all without the means to interpret it.
    vishruth_p
    Hi Jessie! I'm excited to learn about your experience in Mayo Clinic and radiology through your project! As you mentioned, processing image data is an enormous challenge. Do you plan on exploring/using emerging technologies such as artificial intelligence and machine learning as solutions to analyze these complex images and reduce the time needed for analysis?
    jessie_z
    Hi Vishi! To answer your question, AI is absolutely prevalent in radiology, so my project will likely include such technologies. Algorithms, especially those based on deep learning, are trained on large datasets of annotated images, enabling them to recognize patterns, detect abnormalities, and assist radiologists in interpreting results.

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