Publications
Safety and usability of oncology information systems – a systematic review
- Description: A systematic review on clinical information systems in oncology.
- Journal: Frontiers in Digital Health
- Link: https://pubmed.ncbi.nlm.nih.gov/37729894/
Title and abstract screening for literature reviews using Large Language Models
- Description: Clinical Investigation on the development and evaluation of an LLM-based automatic system for citation screening for systematic literature reviews.
- Journal: Systematic Reviews
- Link: https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-024-02575-4
Extraction of Interoperable Data from Healthcare Documents by Identifying Common Data Elements: An Analysis of Radiation Therapy Planning CT Physician Order Entry Records
- Description: Clinical Investigation on extraction and interoperability of data from planning CT documents using Common Data Elements
- Journal: Oncology
- Link: https://pubmed.ncbi.nlm.nih.gov/37729894/
(Common) Data Elements in Radiation Oncology: A Systematic Literature Review
- Description: Systematic Review about data elements and common data elements in radiation oncology.
- Journal: JCO CCI
- Link: https://pubmed.ncbi.nlm.nih.gov/37369089/
Exploring Capabilities of Large Language Models such as ChatGPT in Radiation Oncology
- Description: Clinical Investigation of ChatGPT in answering multiple-choice and open questions in the domain of radiation oncology
- Journal: Advances in Radiation Oncology
- Link: https://pubmed.ncbi.nlm.nih.gov/38304112/
ISROI – Building a pathway for future-oriented radiation oncology
- Description: Position paper about the International Society for Radiation Oncology Informatics
- Journal: medinfo Aerzteverlag
- Link: https://www.tumorzentrum.insel.ch/fileadmin/Radio-Onkologie/Dokumente/08_10_onco_01_22_FB_Cihoric_ISROI.pdf
Projects
The ISROI is dedicated to advancing the field through innovative academic and scientific projects. As a community of experts and enthusiasts in radiation oncology informatics, we recognize the power of collaborative research and the importance of fostering new ideas.
Call for Project Proposals
Members of the ISROI can propose academic and scientific projects to be conducted within the society. This gives the opportunity to contribute innovative ideas, collaborate with peers, and exchange thoughts and expertise. Whether you have a well-defined project or just a germ of an idea, we encourage you to submit your proposal.
Submissions with a brief description of the idea/project can be sent to: fabio.dennstaedt@insel.ch
Get Involved
We encourage our members to stay informed about ongoing projects of the ISROI and consider ways to contribute. Whether through collaboration, providing feedback, or disseminating findings, your involvement can help propel these initiatives forward.
Need for IT specialists in Radiation Oncology
- Description: Position paper on the need for IT specialists for radiation therapy departments.
- Status: Final phase of writing the manuscript
- Contact person: Samuel Peters
Creation of a CDE-based data structure for radiotherapeutic decision-making in breast cancer
- Description: Creation of a data framework based on Common Data Elements derived from standard operating procedures used in daily clinical life for radiotherapy of breast cancer patients.
- Status: Final phase of writing the manuscript
- Contact person: Fabio Dennstädt
Evaluation of a medical LLM in radiation oncology
- Description: Clinical investigation of a medical LLM in answering radiotherapeutic questions from daily clinical life. Joint project between ISROI and the research group “Digitization and Artificial Intelligence” of the DEGRO
- Status: Data accrual
- Contact person: Fabio Dennstädt
Application of an IT knowledge base to improve decision-making for breast cancer in radiation oncology
- Description: Clinical investigation on using a knowledge base about radiation therapy in breast cancer patients.
- Status: Data accrual
- Contact person: Fabio Dennstädt
LLM-based extraction of relevant data for breast cancer patients in radiation oncology
- Description: Clinical investigation on the development and evaluation of an LLM-based automatic system for data extraction in the form of Common Data Elements for breast cancer patients.
- Status: Data accrual
- Contact person: Fabio Dennstädt