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Recent advancements in AI have disrupted virtually any domain of our lives. Healthcare is no different with not only new opportunities unleashed by these developments but also new questions and concerns, particularly regarding ethicality, fairness, bias, and explainability.
Join us to explore together how AI may impact healthcare in Poland through:
presentations and a discussion panel of renowned experts and practitioners on AI fairness, ethics, and bias,
data analysis of a local, anonymised clinical dataset provided by the University Clinical Center in Gdańsk,
and a real-world evaluation of Large Language Models in neurological disease area.
To capture diverse perspectives, we invite to participate representatives across various groups including but not limited to:
Patients
Healthcare Professionals
Engineers
Policy Makers
Researchers
Let's shape together Polish healthcare ecosystem and promote responsible use of AI!
The event is organised jointly by Roche Polska, University Clinical Center in Gdańsk, Medical University of Gdańsk, and Massachusetts Institute of Technology Critical Data Laboratory.
Day 1
aims at exchanging ideas and discuss relevant aspects of the use of AI in Healthcare. The presentations are delivered in English.
Day 2
involves activities in multi-faceted teams of 3 to 5 aimed at utilising AI and data science for healthcare. You may choose one of two tracks:
Datathon: Exploring a local, anonymised dataset provided from a clinic at the University Clinical Center in Gdańsk.
LLM-a-thon: Evaluate the capabilities and limitations of LLMs in Polish for diagnosis and support of patients in a neurological disease area.
The best teams will receive prizes worth a total of PLN 30,000!
Dr. Leo Anthony Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery.
He holds a faculty position at Harvard Medical School as an intensive care specialist at the Beth Israel Deaconess Medical Center and is the clinical research director for the Laboratory of Computational Physiology at MIT. He also founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT.
Prof. Rumiński is a scientist, engineer and teacher in the field of biomedical engineering and computer science.
He is a head of the Department of Biomedical Engineering at the Faculty of Electronics, Telecommunications and Informatics of the Gdańsk University of Technology. He is a titular professor, member of the Committee of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, Chairman of the Scientific Council of the Polish Society of Artificial Intelligence and member of the Human-Factor Committee of IEEE IES.
Prof. Roszak is Head of Computer Sciences and Statistics at Poznań University of Medical Sciences.
She leads interdisciplinary research at the intersection of medicine, informatics, and mathematics. President of the Polish Academic E-learning Association. Prof. Roszak also co-directs a "Data Science in Medicine" postgraduate program with Roche and holds a habilitation in medical sciences and a PhD in mathematical sciences.
Dr. Judy Wawira Gichoya is a multidisciplinary researcher, trained as both an informatician and a clinically active radiologist.
She is an assistant professor at Emory University and works in Interventional Radiology and Informatics. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail.
Prof. Krawiec is a full Professor of Computer Science at Poznan University of Technology.
He leads the Neurosymbolic Systems Group. His research focuses on program synthesis, neurosymbolic systems, evolutionary computation, and medical imaging, with over 180 publications in these areas. He has received the Fulbright Senior Advanced Research Award, two ACM SIGEVO Impact Awards, and has held visiting professorships at University of California and MIT. Beyond academia, he is the Chief AI Officer at Optopol Technology and CTO of Hylomorph Solutions Ltd.
Dr. Stephen Pfohl is a senior research scientist at Google Research.
His work focuses on the incorporation of fairness, adistribution shift, and equity considerations into the design and evaluation of machine learning systems in healthcare contexts. Previously, Stephen completed a PhD in Biomedical Informatics at Stanford University in the Department of Biomedical Data Science.
A message from dr Leo Anthony Celi
"Engaging diverse communities into AI is the best defence we have against bias in healthcare."
Healthcare Datathons take place all around the world on a monthly basis
For more events please consult:
https://criticaldata.mit.edu/#community
Uniwersyteckie Centrum Kliniczne
Centrum Medycyny Inwazyjnej
ul. M. Smoluchowskiego 17, 80-214 Gdańsk