SIU 2019 39th Annual Society of International Urology Congress

SIU 2019: Artificial Intelligence and Big Data

Athens, Greece (Urotoday.com) In today’s medical environment of the growing number of patients, increasing complexity of patient problems, an ever-growing body of literature and available data, with limited time and increasing human error and bias, the need for artificial intelligence is at its peak. Human error is part of life in every field, including medicine, but in the medical field it can have a dire price and cost lives.

Artificial intelligence and its incorporation in the healthcare field will enable to perhaps avoid errors, improve the workflow, improve decision making and facilitate optimal treatment and care plans.

We are currently faced with extremely huge amounts of data piling up and being added on a daily basis. Every year, approximately sextillion bytes of data are added. These include whole-genome sequencing, high-resolution imaging, population-level data, scientific literature data, and data from wearables.

Artificial intelligence is defined as the ability of machines to think, learn and act like humans via a myriad of technologies. This includes machine learning, neural networks, and deep learning. Artificial intelligence is already being applied in almost everyday life applications. These include navigation applications such as google maps, and Waze, ridesharing applications, and commercial flight autopilot systems, and much more.

To date, there have been four large industrial revolutions over the years (Figure 1). We are now at the 4th revolution, introducing new technologies, with the internet, artificial intelligence, big data, cloud systems, and cyber-physical systems.

Figure 1 – The four industrial revolutions:

SIU 2019 four industrial revolutions

In medicine, there are plenty of avenues where artificial intelligence can be implemented and provide significant improvement. This includes in the fields of radiology and diagnostics, pathology, risk calculators, drug data and more (Table 1).

Table 1 – Clinical application of artificial intelligence in the medical field:

SIU 2019 Clinical application of artificial intelligence

Concluding his talk, Dr. Palpattu conveyed his thoughts for the near future regarding artificial intelligence. The era of artificial intelligence and big data is here and we as physicians should embrace it. The electronic medical records of tomorrow will be dynamic and facilitate patient flow/care. However, despite is immense advantages and abilities to improve care, one must remember that artificial intelligence, no matter what form it takes, will not be able to provide compassion or empathy. That is why the human factor will always remain critical.

Presented by: Ganesh S. Palpattu, MD, FACS, George F. and Sandy G. Valassis Professor and Chair of Urology, University of Michigan, Ann Arbor, Michigan

Written by: Hanan Goldberg, MD, Urology Department, SUNY Upstate Medical University, Syracuse, New York, USA, Twitter: @GoldbergHanan at the 39th Congress of the Société Internationale d'Urologie, SIU 2019, #SIUWorld #SIU2019, October 17-20, 2019, Athens, Greece
E-Newsletters

Newsletter subscription

Free Daily and Weekly newsletters offered by content of interest

The fields of GU Oncology and Urology are rapidly advancing. Sign up today for articles, videos, conference highlights and abstracts from peer-review publications by disease and condition delivered to your inbox and read on the go.

Subscribe