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Emerging Role of Artificial Intelligence in Precision Oncology: Advancing Pathology and Diagnostics
By
COR2ED The Heart of Medical Education
FEATURING
Albrecht Stenzinger
By
COR2ED The Heart of Medical Education
FEATURING
Albrecht Stenzinger
Do you want to know more about the clinical application of Artificial Intelligence (AI) in pathology and in precision oncology now and in the future?
In this clinical topic video, molecular pathologist Prof. Albrecht Stenzinger provides expert insight into how AI is starting to shape the pathology landscape, sharing his views on:
- The requirements to successfully implement AI in precision oncology
- Challenges of clinical implementation, including the ethical, legal and regulatory aspects of integrating AI into clinical practice
- Examples of the clinical application of AI in pathology and precision oncology
- The future use of AI in precision oncology
Key Clinical Takeaways:
- AI technologies have the potential to support cancer diagnostics and therapy prediction by integrating complex clinical, imaging and genetic data
- Explainable AI is paramount for implementation in diagnostics
- Generalisability of AI is critical for widespread use
- Addressing regulatory and ethical issues, such as ensuring transparency in AI decision-making and maintaining patient data privacy, is essential for the widespread adoption of AI in precision oncology
Find out more about this programme and download the accompanying slides on our website: https://cor2ed.com/precision-oncology-connect/programmes/artificial-intelligence-ai-precision-oncology/
This content is intended for healthcare professionals only.
Published November 2024.
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Don’t forget to follow the COR2ED account above to see all of our new educational videos as soon as they are released.
The medical experts in this video are expressing their own views and not those of COR2ED, Supporters or their institution. This video is supported by an Independent Medical Education Grant from Bayer.
This video was developed by cor2ed.com
In this clinical topic video, molecular pathologist Prof. Albrecht Stenzinger provides expert insight into how AI is starting to shape the pathology landscape, sharing his views on:
- The requirements to successfully implement AI in precision oncology
- Challenges of clinical implementation, including the ethical, legal and regulatory aspects of integrating AI into clinical practice
- Examples of the clinical application of AI in pathology and precision oncology
- The future use of AI in precision oncology
Key Clinical Takeaways:
- AI technologies have the potential to support cancer diagnostics and therapy prediction by integrating complex clinical, imaging and genetic data
- Explainable AI is paramount for implementation in diagnostics
- Generalisability of AI is critical for widespread use
- Addressing regulatory and ethical issues, such as ensuring transparency in AI decision-making and maintaining patient data privacy, is essential for the widespread adoption of AI in precision oncology
Find out more about this programme and download the accompanying slides on our website: https://cor2ed.com/precision-oncology-connect/programmes/artificial-intelligence-ai-precision-oncology/
This content is intended for healthcare professionals only.
Published November 2024.
Follow us on social media:
X
Don’t forget to follow the COR2ED account above to see all of our new educational videos as soon as they are released.
The medical experts in this video are expressing their own views and not those of COR2ED, Supporters or their institution. This video is supported by an Independent Medical Education Grant from Bayer.
This video was developed by cor2ed.com
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