News | Computer-Aided Detection Software | January 04, 2016

Second Annual Data Science Bowl Crowdsources Heart Disease Diagnosis Solutions

Participants will use cardiac MRI images to create algorithm to automate real-time cardiac measurement, with $125,000 prize for most accurate solution

Data Science Bowl, second annual, algorithm, heart disease diagnosis

January 4, 2016 — Booz Allen Hamilton  and Kaggle announced that the second annual Data Science Bowl will call on the global data science community to create a set of steps, or algorithms, to help transform diagnosis of heart disease. Through a partnership with the National Institutes of Health (NIH), participants in the 90-day competition will be given magnetic resonance imaging (MRI) images and asked to develop an algorithm to automate the measurements that are key indicators of heart disease.

The heart’s ability to efficiently pump blood is currently measured through a manual process that takes a specially trained cardiologist approximately 20 minutes to complete – vital time the physician could be spending with his or her patients. The Data Science Bowl’s dataset features more than 1,000 images from a broad spectrum of individuals with different ages and genders, ensuring the winning algorithm will be able to handle the varying, yet precise demands of real-world patient care while drastically cutting the time and cost of the traditional process.

“Combining our rich dataset with the collective power of data scientists presents a truly unique opportunity to redefine heart health research in just three months – an almost unbelievably short period of time in this industry,” said Michael S. Hansen, M.D., a NIH specialist in fast MRI techniques for real-time imaging and interventional procedures. “This competition demonstrates advanced analytics’ ability to amplify the impact of the individual analyst, and real-time cardiac measurement promises to significantly improve care where it matters most — at the doctor-patient level.”

At the close of the competition, the algorithm will be released in an open-source format, which will allow cardiologists and NIH researchers to explore its integration with diagnostic technologies. The participants who deliver the most accurate algorithm will be granted $125,000, with the second and third-place teams receiving $50,000 and $25,000, respectively. This year, visual computing vendor and special Data Science Bowl sponsor NVIDIA contributed $25,000 in prize money, and will provide all participants with free access to online deep learning courses. NVIDIA will also provide the three winning teams with free passes to its 2016 GPU Technology Conference (April 4-7, 2016, in San Jose, Calif.), where they plan to have the winning teams present their results.

For more information: www.datasciencebowl.com

Related Content

NewYork-Presbyterian Hospital Partners With Philips for Health IT and Clinical Informatics
News | Enterprise Imaging | January 16, 2019
Philips announced that NewYork-Presbyterian Hospital has chosen to implement the company’s IntelliSpace Enterprise...
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...
Videos | Advanced Visualization | January 09, 2019
Vinodh Kumar, M.D., and Komal Shah, M.D., associate professors of radiology at...
3-D Reconstruction of Ichthyosaurus Skull

A 3-D reconstruction of the ichthyosaurus skull from a computed tomography (CT) scan. Image courtesy of Nigel Larkin, taken at Royal Veterinary College, London.

News | Computed Tomography (CT) | January 09, 2019
A nearly meter-long skull of a giant fossil marine ichthyosaur found in a farmer's field more than 60 years ago has...
Videos | Artificial Intelligence | December 18, 2018
Radiological Society of North America (RSNA) 2018 annual meeting keynote speaker Michael Recht, M.D., chairman of rad
Materialise and Carestream Deploying Zero-Footprint Surgical Planning Solution
News | Medical 3-D Printing | December 14, 2018
Materialise, in collaboration with Carestream Health, is developing a work-in-progress zero-footprint deployment of...
Videos | Artificial Intelligence | December 13, 2018
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors showing...
Canon Aquilion One CT Helps Gates Vascular Institute Adhere to New Stroke Guidelines
News | Computed Tomography (CT) | December 12, 2018
In stroke, time saved on imaging is time gained in the treatment window. The recently updated guidelines from the...
GE Healthcare Partners With Department of Veterans Affairs to Accelerate 3-D Printing
News | Medical 3-D Printing | December 11, 2018
GE Healthcare and VA Puget Sound Health Care System, Washington, recently announced a partnership to accelerate the use...