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Shikha's journey to the "patient twin"
Shikha's journey to the "patient twin"
A miniature digital Shikha waves at us from the smartphone screen. Though the figure's movements still appear a bit shaky, its visual likeness to the "real" Shikha is unmistakable.
Artificial intelligence fascinates me. There's virtually nothing you can't do with it – whether it's making video games more realistic, or optimizing search engines and business outcomes. And, of course, making medical technology smarter.
Shikha Chaganti
Research and technology manager at Siemens Healthineers
What is artificial intelligence (AI)?
#Futureshaper:
Data get stuck in their "silos"
What is a data silo?
An avatar – generated by artificial intelligence
Design thinking
What is FHIR®?
- PACS stands for "Picture Archiving and Communication System". This is a digital technology system for managing and archiving medical image data from imaging processes such as radiography, CT and MRI.
What does EHR stand for?
The digital twin grows with its real counterpart
Collecting data and generating new insights thanks to AI
What is cinematic rendering?
A new type of 3D visualization technology. It uses data from imaging systems to create photorealistic pictures and videos. It shows the inside of the body with such unprecedented clarity that patients can also understand the images.
What is natural language processing (NLP)?
A comprehensive network of experts
- Digital solutions such as digital twins can be protected by various types of intellectual property. Industrial design rights protect the graphical user interface. Copyrights protect the actual creative work – such as the programming code of the software. However, copyrights do not protect a solution's functionality: that's where patent law comes into play. Broader technical concepts can be protected by patents – like the above-mentioned compilation of previously fragmented data to create a digital twin. Technical solutions based on artificial intelligence and machine learning can likewise be protected by patents. Altogether Siemens Healthineers holds over 800 patents in the field of machine learning.
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Katja Gäbelein works as an editor in corporate communications at Siemens Healthineers, and specializes in technology and innovation topics. She writes for text and film media.
Assistant editor: Guadalupe Sanchez
- References
[1] Gethmann, Carl Friedrich; Buxmann, Peter; Distelrah, Julia; Humm, Bernhard G.; Lingner, Stephan; Nitsch, Verena; Schmidt, Jan C.; Spiecker (Döhmann), Indra (2022): Künstliche Intelligenz in der Forschung – Neue Möglichkeiten und Herausforderungen für die Wissenschaft. ("Artificial intelligence in research – New opportunities and challenges for science") Berlin: Springer. P. 8:
[2] https://www.healthcare-computing.de/was-ist-fast-healthcare-interoperability-resources-fhir-a-903586/
Disclaimer
This product is under development and not commercially available. Its future availability cannot be ensured.