AI in Dermatological Practice: What does it take to make the leap?

Digital skin imaging has become essential in the daily practice of any dermatologist. Imaging is mainly used for the diagnosis, monitoring and treatment of various skin conditions. Despite its increasing use, the acquisition, transfer, and secure storage of these data remain challenging for dermatologists and healthcare institutions. In addition, the current interest in incorporating AI systems into the clinical workflow has made it essential to have images and other information available in a timely and automatic manner, as well as to design and develop the necessary architecture so that this technology can be effectively used in the hospital ecosystem.

Objectives

• Describe our experience in integrating dermoscopic images into PACS using DICOM and Modality Worklist as a guide
• Present the architecture, applications and processes designed to have AI models running in real time in our hospital
• Discuss the challenges addressed and future steps

Resources

• Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper
• The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper

CE Credit

The Society for Imaging Informatics in Medicine has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).

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