2021.AI and Rigshospitalet to support thyroid cancer patients with AI

Trained on hospital data, the new AI models will answer pre-operational questions from patients while maintaining the highest legal and ethical standards.


Funded by the European fund for regional development Erhversfyrtårnet, 2021.AI and Rigshospitalet have announced a collaboration to implement AI in Rigshospitalets Department of Oto-rhino-laryngology, Head and Neck Surgery and Audiology (“ENT”), providing information and support for thyroid cancer patients.

Located in Copenhagen, Rigshospitalet is the largest and most specialized hospital in Denmark, serving 75,000 inpatients each year. As a critical center for teaching and research, Rigshospitalet prioritizes innovation in a continual effort to provide world-leading healthcare.

“We are excited to be able to try new and innovative initiatives at the Department of Otolaryngology at Rigshospitalet,” said Mads Klokker, Head of ENT Head & Neck Surgery and Audiology at Rigshospitalet. “Through our fast-tracked collaboration, we will investigate how AI can support patients suspected of having thyroid cancer. Our goal remains unchanged: to ensure that patients feel secure during treatment.”

With data provided entirely by Rigshospitalet, 2021.AI used techniques such as Retrieval Augmented Generation (RAG), data-preprocessing, prompt engineering and fine-tuning of a large language model, or LLM, to provide pre-operational information and answer patient questions.

Using 2021.AI’s GRACE Platform, which supports compliance with legal regulations and ethical guidelines, the LLM will improve the treatment journey for patients and healthcare providers without using patients’ personal information.

“With the help of AI, we can provide support and guidance even outside of our regular opening hours. The purpose is to create patient-centeredness, security, and tranquility for the patient, their loved ones, and ourselves as healthcare providers,” said Klokker. “We will also be able to learn about patient needs and thus clinical resource allocation, which is crucial for meeting future demographic pressures.”

For more information, please contact:

Clara Foged Andersen, Project Manager 2021.AI
Tel.: +45 61339523
Email: cla@2021.AI

Neil Oschlag-Michael, Data Architect 2021.AI
Tel.: +45 23377361
Email: nos@2021.AI

You might also like…

You might like - Launch of GRACE Governance for LLMs

GRACE Governance for LLMs address and mitigate the concerns and risks associated with the use of LLMs in your organization

2021.AI announced the launch of GRACE Governance for LLMs…


Updates on the CLIC project

The CLIC Project leverages AI to tackle radiologist shortage and improve patient care

The CLIC project provides critical support for Denmark’s medical system through AI solutions that enable radiologists to work…


CLIC Project - 2022

Promoting efficiency and governance in healthcare with clinical AI solutions

Assessing X-rays or scans before deciding on diagnosis and treatment is a resource-intensive practice. It typically involves two…


The Responsible AI Newsletter

Get the latest know-how from those in the know. Sign up for our Responsible AI Newsletter and receive the latest insights from our experts.