Smart algorithms could make cardiology “more fun and less burdensome,” saidAnthony Chang, M.D., a pediatric cardiologist at theChildren’s Hospital of Orange County in California(CHOC), internationally acknowledged as an expert inartificial intelligence．
Artificial intelligence (AI) might reduce or even eliminate the hours spent processing medical records information or even taking notes “while he or she is talking to the patient,” saidChang, whose nickname is Dr. A.I.
Needed will be algorithms that do the tedious work now done by cardiologists, he said in apodcastpublished byImaging Technology News (ITN)．The burden of doing this grunt work is one reason cardiologists are burning out, Chang said in theITN podcast这种情况需要消除。”
At the2019 annual meetingof theAmerican College of Cardiology, the pediatric cardiologist, who also serves as CHOC’s chief intelligence and innovation officer, will describe how AI can boost the quality of cardiological practice and how its use can help prevent burnout. At noon on Monday March 18, Chang is scheduled to kick off the session entitled “Rise of Intelligent Machines: The Potential of AI in Cardiovascular．”
Watch an interview with Chang in theVIDEO: Artificial Intelligence Applications for Cardiology.
Deep Learning Is Both Plus and Minus
Algorithms created throughdeep learning, in which algorithms get smart about the rules governing medical practice, often through unsupervised learning, will be featured prominently. But deep learning (DL) is both boon and bane for cardiologists, according to Chang, who described DL in theITNpodcastas a kind of black box whose opacity threatens the credibility – and, consequently, adoption – of AI.
“We have to do our best to make it a glass box – not a black box … Maybe (cardiologists won’t) fully understand” what’s in the box, but they definitely have to “see things as more transparent,” he said in the podcast.
张说，心脏病专家必须尽自己的一份力，努力理解人工智能工具的基础，他建议心脏病专家“至少上几门课程(或)看几段视频”，以便更好地理解数据科学的基础知识，并习惯使用他预测将“在医学领域流行”的工具。
The pediatric cardiologist said AI will “get to the point where it is a very, very nice augmentation of (cardiologists’) human skills.” Chang went on to predict that AI will complement human cognition. While stopping short of forecasting the end of deep learning, he said “deep learning is certainly going to start to recede into the background a little bit – and human cognition ultimately is going to be needed. That is when AI matures.”
In the meantime, cardiologists should take advantage of smart algorithms when and where they can, he recommended. Doing so will be necessary if cardiologists are to stay ahead of the mounting wave of information. “Only a computer can put all of the analytics together with multilayered data and very few if any humans can really do that well and consistently without fatigue,” he said.
People And AI To Form Synergy
Chang forecasted “a great synergy” between cardiologists and machine intelligence, one that will get increasingly strong. But cardiologists have a ways to go to reach this point. He described cardiology as being generally at “a relatively low trajectory” on the curve needed to take advantage of AI. This can – and will – be corrected, he said in the podcast, “because cardiologists inherently are data savvy and very innovative. I think we just need to bend that curve up.” Doing so, however, is going to take “a lot of education” and “a lot of application demonstrations,” he said.
If cardiologists are to reap the full benefits of AI, they must reorganize their data, Chang said in theITNpodcast. He compared the needed organization to that of a pyramid: “The bottom layer – the foundational layer – is the data. Then you have information as the next layer; then you have knowledge; then you have wisdom and intelligence.”
The topic of AI will be increasingly prominent at cardiology meetings, Chang predicted in theITNpodcast: “I think within a year cardiologists will be talking about this fairly routinely at meetings, particularly ACC, because it is known for innovation.”
Chang is head of the artificial intelligence organizationAIMed, which hosts educational sessions and an annual meeting on AI applications in medicine.
Greg Freiherr is a contributing editor to Imaging Technology News (ITN). Over the past three decades, Freiherr has served as business and technology editor for publications in medical imaging, as well as consulted for vendors, professional organizations, academia, and financial institutions.
Related content:
Technology Report: Artificial Intelligence
PODCAST: How Technology Is Changing Cardiology
PODCAST: Shortcomings of CTA in Cardiology
ACC.19 Future Hub Hosts “Shark Tank” of Emerging Technologies In Cardiology