CAIMed Meet-Up: Clinical decision support and its statistical evaluation: What, how, and why?
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CAIMed Meet-Up: Clinical decision support and its statistical evaluation: What, how, and why?
Our recent Meet-ups have once again highlighted the value of interdisciplinary exchange, and we are pleased to continue this series with the upcoming CAIMed Meet-Up: Clinical Decision Support and Its Statistical Evaluation: What, How, and Why?
This Meet-Up will feature three expert talks addressing key methodological, statistical, and ethical foundations of clinical decision support systems and artificial intelligence in medicine. Julia Böhnke will present insights and methods from the ELISE project, focusing on diagnostic test accuracy estimation in longitudinal settings. Björn Laabs will discuss statistical properties required for useful and efficient clinical decision support systems, highlighting methodological considerations for reliability and practical implementation. Mehul Bhatt will present on responsible AI foundations for next-generation neurocognitive technologies, addressing conceptual, ethical, and technological perspectives.
In addition, the program will include a poster session showcasing current research projects and ongoing work in clinical decision support, AI in medicine, and related statistical methodologies. The poster session will provide an opportunity for discussion, networking, and interdisciplinary exchange among participants.
We are pleased to invite you to the upcoming CAIMed Meet-up on 02 March 2026 – 1:00 p.m. to 5:00 p.m. at CRC Clinical Research Center Hannover (MHH), Feodor-Lynen-Str. 15, 30625 Hannover (maps link).
Agenda
1:00 p.m. - 1:30 p.m. Get together
1:30 p.m. - 1:45 p.m. Welcome (& intro of AI Grid guests)
1:45 p.m. - 2:15 p.m. Talk 1 / Diagnostic Test Accuracy Estimation in Longitudinal Settings – Insights and Methods from the ELISE project (Julia Böhnke)
2:20 p.m. – 2:50 p.m. Talk 2 / (Statistical)properties for useful and efficient clinical decision support systems (Björn Laabs)
2:55 p.m. – 3:15 p.m. Coffee Break
3:15 p.m. – 3:45 p.m. Talk 3 / Responsible AI Foundations for Next-Generation Neurocognitive Technologies (Mehul Bhatt)
3:50 p.m. – 4:30 p.m. Panel Discussion
4:30 p.m. – 5:00 p.m. Poster Session
CAIMed is funded by the Ministry of Science and Culture of Lower Saxony with funds from the program zukunft.niedersachsen of the VolkswagenStiftung.
Ticket(s)
CAIMed is the Lower Saxony research center for artificial intelligence and causal methods in medicine. We develop innovative methods for improved, personalized healthcare and contribute to the management of widespread diseases such as cancer, cardiovascular diseases and infections. The combination of excellent locations in Lower Saxony for methodical AI research, data-intensive medicine, medical informatics and basic medical research creates a unique flagship project for research into AI and personalized medicine.
CAIMed relies on the linking of research data, clinical data and patient care data as well as the use of artificial intelligence and causal methods. This enables prevention, diagnostics, therapy and monitoring of therapeutic success to become more effective and efficient and the individual needs of each person to be better identified and served.