Bringing deep learning' to the clinic: scientists overcome key barrier to widespread adoption By providing a new level of clarity into how deep learning systems reach their medical diagnoses, scientists hope this AI approach will fuel a new era of preventative medicine.
March 01, 2021
LA JOLLA, CA A team led by scientists at Scripps Research has demonstrated a method for opening the black box of a powerful artificial intelligence technique called deep learning, which holds vast potential for identifying disease earlier than is currently possible. The new method could help unleash deep learning for medical applications such as predicting heart attacks and diagnosing cancers.
The framework we've created enables an in-depth exploration of the deep learning decision-making process, making it more transparent and useful for clinicians, says the studys senior author Giorgio Quer, PhD, senior staff scientist at Scripps Research and director of artificial intelligence at the Scripps Research Translational Institute.
Deep learning networks are software-based, brain-like systems neural networks that can process a large amount of data to recognize patterns, make predictions or otherwise make brain-like decisions. They are considered black boxes because the ways in which they turn their inputs into outputs are often unknown they don't reveal interpretable relationships. That makes deep learning hard to use in real-world settings where, for example, a doctor might need to know why a deep learning system reached an important conclusion such as a disease diagnosis.
In the study, published in the IEEE Journal of Biomedical and Health Informatics, the Scripps Research scientists developed a framework for explaining how deep learning works, and demonstrated this through a deep learning system's identification of a common heart condition called atrial fibrillation.
A case study in heart disease
Atrial fibrillation, often called AFib, is a condition in which the heart sometimes slips into a rapid and dysfunctional rhythm, causing lightheadedness and other symptoms. Four out of every 10 adults over age 55 will develop AFib in their lifetime. Most critically, AFib promotes the formation of blood clots in the heart, which can break off and cause strokes; people with this condition have five times the normal risk of stroke.
Yet, for many patients AFib flares up only occasionally, making it hard to detect in routine medical checkups that gather only a brief snapshot of a patient's heartbeat. Quer and colleagues in recent years have shown how wearable medical devices can gather heart-rhythm data for extended periods, and that deep learning can then process the vast datasets to detect AFib (read the 2019 study).
This proposed method would offer improved diagnostic accuracy over traditional models and could save lives by spotting disease earlier. But the opacity of deep learning has remained a hurdle to clinical adoption of this approach.
Evoking transparency
In the new study, Quer and colleagues created a way to analyze how deep learning makes its decisions in a medical diagnostic context. Then, they applied this framework to the deep learning system they developed for AFib. Their method included subtracting or otherwise varying the input data to see how those changes altered the deep learning network's decision. The result was a comprehensive picture of how deep learning works in this instance, showing how its recognition of AFib depends on key clinical variables.
Interestingly, we found that the ECG features that most heavily contributed to the final deep learning decision are features that cardiologists also routinely look for in diagnosing AFib, says study co-author Steven Steinhubl, MD, a cardiologist and director of Digital Medicine at the Scripps Research Translational Institute.
Quer, Steinhubl and their colleagues hope that the availability of this explanatory framework will encourage cardiologists and hospitals to start using deep learning and wearable technology for better AFib screening and monitoring.
The approach could eventually be applied to other medical conditions that can be identified through data collected with wearable devices. Currently, the Scripps Research team is working on a machine learning method to detect COVID-19 from wearable sensor data, aiming to improve upon the accuracy they reported in their recent paper in Nature Medicine. Here, it will be necessary to explain the machine learning results and highlight the most important features used to identify people with COVID-19 infection.
With this new explanatory approach, we hope to better understand the deep learning network and make it more useful to clinicians, Quer says.
The study was a collaboration between Scripps Research and the University of California, San Diego. A Comprehensive Explanation Framework for Biomedical Time Series Classification was co-authored by Praharsh Ivaturi, Matteo Gadaleta, Amitabh Pandey, Michael Pazzani, Steven Steinhubl and Giorgio Quer.
Funding was provided by the Defense Advanced Research Projects Agency, the National Science Foundation and the National Center for Advancing Translational Sciences.
Heart Disease Quer, Giorgio
North America Stories
16/07/2026
This recent graduate and Georgia native has turned an early fascination with live production into a growing passion for camera work
In the live-sports-video in...
16/07/2026
TNDV is marking the first anniversary of Aspiration 35, a mobile production truck built around ARRI Alexa 35 Live camera systems. Over its first year, the truck...
16/07/2026
ATSC has completed a major revision to its A/85 Recommended Practice: Techniques...
16/07/2026
FloSports has announced an exclusive global media partnership with CrossFit for the 2026 CrossFit Games, presented by Air National Guard, beginning July 21 in S...
16/07/2026
Sennheiser has released firmware version 1.4 for its Spectera wireless system and announced the Spectera Command Button (Cat. No. 701014). The update adds comma...
16/07/2026
ESPN and the Southwestern Athletic Conference (SWAC) have announced a multi-year...
16/07/2026
Audio-Technica has announced the 20 Series Control Application, a Stream Deck plug-in for compatible Audio-Technica USB microphones. The application is compatib...
16/07/2026
The fifteenth season of The Voice - La plus belle voix on TF1 used four Solid St...
16/07/2026
Gray Media and the Atlanta Hawks have announced a broadcast partnership that wil...
16/07/2026
Season 3 of Netflix's docuseries, which dropped this week, follows Jayden Da...
16/07/2026
The Texas Rangers and Rangers Sports Network presented by Progressive (RSN) have announced BZZR as the new direct-to-consumer distributor for Rangers game broad...
16/07/2026
With England's FIFA World Cup 2026 team getting ready to fly home after losi...
16/07/2026
In a return to Royal Birkdale, the team enjoys partnering with ETP and Gravity M...
16/07/2026
Along with a new studio at Ball Arena, the Colorado-based RSN is working with XR...
16/07/2026
Austria was back at the World Cup for the first time in 28 years, and the team d...
16/07/2026
With 42 RF cameras and high-power radio mics deployed, the spectrum environment ...
16/07/2026
June brought stabilization to the television market. Poles spent an average of 3 hours and 36 minutes a day in front of their TV screens exactly the same as i...
16/07/2026
Glensound returns to IBC with a major new addition to its intelligent loudspeaker range, the Greater Divine Supernal studio monitor, alongside recent developmen...
16/07/2026
33 leading exhibitors are taking part in the GREAT Britain and Northern Ireland Pavilions and linked locations across IBC2026 (Amsterdam RAI, 11 14 September)...
16/07/2026
Hitomi Broadcast will introduce Spectra, a new HDR colour verification solution measured in picture, not using VPID, at IBC2026 (Hall 10, Stand A40). Expanding ...
16/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
16/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
16/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
16/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
16/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
16/07/2026
Zixi, a leader in live video delivery and workflow orchestration, and Comcast Technology Solutions (CTS) today announced a strategic new integration to deliver ...
16/07/2026
Blackmagic Design Cameras Capture Immersive Flight for New Cirrus App
Brie Clayton July 15, 2026
0 Comments
Leader in Personal Aviation taps URSA Cin...
16/07/2026
XenData Announces LTO Archive Appliances with both File and S3 Object Storage In...
16/07/2026
Onimusha: Way of the Sword is coming to GeForce NOW at launch, with the playable...
15/07/2026
The 2026 FIFA World Cup is a big deal for DAZN, which has distribution rights in three markets: Italy, Spain, and Japan. Each requires a different editorial app...
15/07/2026
As sports-media organizations manage rapidly growing content libraries and incre...
15/07/2026
HBS director of digital Johannes Franken talks SVG Europe through the operation built to serve FIFA World Cup 2026 rights holders remotely from Stratford, east ...
15/07/2026
IBC has unveiled the conference program for IBC2026, with this year's event ...
15/07/2026
Software-defined wideband RF platform supports 96-kHz monitoring, streamlined fr...
15/07/2026
New AI-powered module enables broadcasters and content owners to extract dialogu...
15/07/2026
Weeklong gathering at EBU headquarters will test new IPMX capabilities and expand certified product ecosystem...
15/07/2026
Force Tech has announced the appointment of Bryan Adams, CTS, as Vice President of Integration. Adams will oversee AV and broadcast integration project delivery...
15/07/2026
USA Sports has announced an exclusive English-language agreement with the Bundes...
15/07/2026
ITV Sport's FIFA World Cup 2026 coverage has been produced from one of the m...
15/07/2026
Program will provide professional camera kits, training, and technical support to participating local newsrooms...
15/07/2026
San Francisco church becomes first U.S. deployment of the 2 M/E production switcher...
15/07/2026
Former ESPN and NFL Network executive to advise startup league on media, distribution, technology, and fan engagement...
15/07/2026
The Houston-based RSN is the live-game home of the Astros and Rockets...
15/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
15/07/2026
Share
Copy link
Facebook
X
Linkedin
Bluesky
Email...
15/07/2026
GigaCloud, a leading Ukrainian cloud service provider, and Cubbit, the first geo-distributed cloud storage enabler, today announced a new Business Alliance Part...
15/07/2026
SMPTE, the global society for media professionals, technologists, and engineers, has announced the launch of the SMPTE 110th Anniversary Campaign, a fundraising...
15/07/2026
Studio Technologies, a leading manufacturer of high-quality audio, video, and fiber-optic solutions, unveils the new StudioComm Model 762 Stereo Level Control, ...
15/07/2026
COW Jobs: Producer, Virtual Events - Hybrid, Full Time, Salaried
Brie Clayton July 15, 2026
0 Comments
Producer, Virtual Events (Hybrid | Full-time | ...
Bringing deep learning' to the clinic: scientists overcome key barrier to widespread adoption By providing a new level of clarity into how deep learning systems reach their medical diagnoses, scientists hope this AI approach will fuel a new era of preventative medicine.
