AI for Future Healthcare

Speaker:  Bjoern M Eskofier – Erlangen, Germany
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


The fast-growing costs of acute care are pushing the healthcare systems worldwide to a limit. Globally, we are coming to realize that we cannot afford to provide everybody with access to unlimited healthcare services in the light of current demographic changes. An alternative approach is emerging that focuses on “keeping people healthy” through primary and secondary prevention in all phases of life. This paradigm shift in the healthcare systems is demanding research using medical data and AI algorithms with the aim to “keep people outside of the hospital”.

Thus, with the availability of substantial data amounts driven by digitalization in medicine, machine learning and artificial intelligence have received a lot of attention in medical research recently. For instance, the number of annual Pubmed-listed publications containing either the keywords “Machine Learning” or “Artificial Intelligence” is rising since the 1990s. While there were less than 200 articles with these keywords in 1990, this number about doubled to less than 400 in 2000, then increased five-fold to approximately 2200 in 2010, to then see an almost ten-fold (!) increase to a bit more than 21500 articles published in 2020. The interest in these topics is rising in all areas of medicine, making it a good idea to de-mystify aspects of associated technologies, and to explain the existing opportunities and challenges to a wider audience. This talk consequently aims at explaining machine learning and artificial intelligence approaches for digital data analyses, with a focus on medical data, to interested attendees.

The talk will also touch base on future directions of technology innovation to create new biomarkers for the assessment of health status, condition, and prognosis of palliative patients in the last weeks of life. Associated algorithms and systems are currently being researched in a new German Research Foundation funded collaborative research center “empatho-kinaesthetic sensory science” ( in an interdisciplinary interaction of engineering, ethics, medical, and psychological experts. The systems that are currently being investigated in laboratory environments will enter everyday applicability in a few years. This will open up new possibilities in palliative care, with the aforementioned algorithms and systems hopefully contributing to better understanding of care mechanisms and intervention options.

About this Lecture

Number of Slides:  20 - 60
Duration:  20 - 90 minutes
Languages Available:  English, German
Last Updated: 

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