Why use Artificial Intelligence in Big Data Analysis in Neurosurgery?
Speaker
Dr. Juri Kivelev and Dr. Ilkka Saarenpää
Turku University Clinic, Finland
Host
Peter Szolovits
Clinical Decision Making, CSAIL
Abstract:
In 2019, we estimate severity of intracranial hemorrhage by the Hunt-Hess scale established in 1968. Moreover, in 2019, we estimate the level of consciousness in a severe brain trauma by the Glasgow Coma Scale established in 1974. These are just a couple of examples of what neurosurgeons are still using in clinical practice worldwide. These scales were established before the computed tomography era and are based on the very primitive statistical analysis of limited clinical data.
Now, in Finland we have access to data encompassing billions of bits of clinical parameters from consecutive unbiased patient series. This is due to reliability of the Finnish social insurance system and a novel automated way to collect the data from electronic patient records.
Our department has a comprehensive dataset of almost 4,000 patients having a brain aneurysm treated between 2000 and 2018 in our district. The dataset includes nearly 3,000,000 laboratory exam results and 230,000 clinical events with no drop-outs. To our knowledge, this kind of dataset is absolutely unique in the world and worthy of the best possible modern analysis.
We need artificial intelligence to exploit these data for scientifically justified decision-making, thus providing more reliable patient care. The essential path of development in neurosurgery seems to be the symbiosis of machine learning and clinical practice.
Bios:
Juri Kivelev MD, PhD, Associate Professor and Neurosurgeon in Turku University Clinic, Finland. Born in Russia in 1980 and moved to Finland in 2003. Board certified Neurosurgeon in Finland and EU in 2011. Performed more than 2000 neurosurgical operations, author of 27 articles and 4 book chapters. Main clinical and scientific interests: vascular and spinal neurosurgery. Has wife and two sons. Hobby: fishing
Ilkka Saarenpää MD, PhD, MSc (Eng.) and Neurosurgeon in Turku University Clinic, Finland. Born in 1974, in Tampere, Finland. Board certified Neurosurgeon in Finland and EU in 2018. Worked as Research Scientist at Tampere University of Technology in 2001-2006 and at Stanford University in 2004-2005. Main clinical and scientific interests: spinal neurosurgery. Has wife and two daughters. Hobby: sports.
In 2019, we estimate severity of intracranial hemorrhage by the Hunt-Hess scale established in 1968. Moreover, in 2019, we estimate the level of consciousness in a severe brain trauma by the Glasgow Coma Scale established in 1974. These are just a couple of examples of what neurosurgeons are still using in clinical practice worldwide. These scales were established before the computed tomography era and are based on the very primitive statistical analysis of limited clinical data.
Now, in Finland we have access to data encompassing billions of bits of clinical parameters from consecutive unbiased patient series. This is due to reliability of the Finnish social insurance system and a novel automated way to collect the data from electronic patient records.
Our department has a comprehensive dataset of almost 4,000 patients having a brain aneurysm treated between 2000 and 2018 in our district. The dataset includes nearly 3,000,000 laboratory exam results and 230,000 clinical events with no drop-outs. To our knowledge, this kind of dataset is absolutely unique in the world and worthy of the best possible modern analysis.
We need artificial intelligence to exploit these data for scientifically justified decision-making, thus providing more reliable patient care. The essential path of development in neurosurgery seems to be the symbiosis of machine learning and clinical practice.
Bios:
Juri Kivelev MD, PhD, Associate Professor and Neurosurgeon in Turku University Clinic, Finland. Born in Russia in 1980 and moved to Finland in 2003. Board certified Neurosurgeon in Finland and EU in 2011. Performed more than 2000 neurosurgical operations, author of 27 articles and 4 book chapters. Main clinical and scientific interests: vascular and spinal neurosurgery. Has wife and two sons. Hobby: fishing
Ilkka Saarenpää MD, PhD, MSc (Eng.) and Neurosurgeon in Turku University Clinic, Finland. Born in 1974, in Tampere, Finland. Board certified Neurosurgeon in Finland and EU in 2018. Worked as Research Scientist at Tampere University of Technology in 2001-2006 and at Stanford University in 2004-2005. Main clinical and scientific interests: spinal neurosurgery. Has wife and two daughters. Hobby: sports.