wiki:cs/LaboratorniSeminar/2019CardiocudeJadczyk

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CardioCube - Conversational AI for cardiovascular patients

Author: Tomasz Jadczyk, International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic

Wednesday, February 27, 2019
NLP lab, room B203

Abstract:

CardioCube is an artificial intelligence-powered, voice-enabled digital assistant for patients.

One of the biggest challenge in clinical medicine are unplanned hospital readmissions. This applies especially to cardiovascular disease patients. Around 25% of them get back to hospital within one month of discharge. Recurrent complications and unplanned hospitalizations are devastating for patient’s health and produce overwhelming healthcare costs. Voice-first devices (i.e. Amazon Echo or Google Home) could help to obtain clinical data about disease-specific symptoms (chest pain, shortness of breath, vertigo, headache etc.). This information can be further combined with a hospital database, analyzed using AI techniques and presented to a healthcare provider. Better understanding of patient status at home may help to optimize treatment strategy avoiding medical complications.

Bio:

Tomasz Jadczyk, MD PhD, is Assistant Professor at Medical University of Silesia in Katowice (Poland) and post-doc researcher at International Clinical Research Center in Brno (Czech Republic). Apart from clinical and experimental medicine, he is interested in application of conversational AI to improve everyday clinical practice and support patients. In collaboration with Cedars-Sinai Accelerator (Los Angeles, CA, USA), Dr Jadczyk, as Chief Science Officer, co-develop the CardioCube, Amazon Alexa-based voice medical platform.