Skip to content
MarketScale
‹ Back to IndustriesHealthcare

Ultrasound Technology to Diagnose and Treat Cardiovascular Disease

Ultrasound analysis leads the charge in advancements in diagnosing and treating cardiovascular disease. Intel’s Yehudit Levi and DiA Imaging Analysis’ Hila Goldman-Aslan joined Michelle Dawn Mooney for insights on the AI and technology advancements in ultrasound that provide better diagnosis and treatment of cardiovascular disease. Hila Goldman-Aslan says that early detection is the go-to strategy…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Promoted content from Intel on MarketScale.

Share

Ultrasound analysis leads the charge in advancements in diagnosing and treating cardiovascular disease. Intel’s Yehudit Levi and DiA Imaging Analysis’ Hila Goldman-Aslan joined Michelle Dawn Mooney for insights on the AI and technology advancements in ultrasound that provide better diagnosis and treatment of cardiovascular disease.

Hila Goldman-Aslan says that early detection is the go-to strategy to prevent a significant cardiac incident or death. “And ultrasound is the leading modality to identify those abnormalities in the heart, and it’s been increasingly used in all kinds of settings. You can see an ultrasound and cardiac ultrasound being used at the point of care in the emergency rooms and the ICU.”

A 2020 article from the American College of cardiology notes a rise in cardiovascular disease. With one-third of global deaths in 2019 attributed to cardiovascular disease, it is critical to find preventative solutions to reduce these alarming numbers. And this situation is where AI can play an essential role. “Artificial intelligence is all about data,” says Yehudit Levi. “The health segment is unique in the sense that a lot of medical records have been collected through the years. Artificial intelligence software enables processing these masses of data.” The insights gleaned from all this data and knowledge, once made accessible to the medical staff, help highlight abnormalities that might otherwise prove difficult to detect.

DiA Imaging Analysis powered through Intel technology strives to allow for more efficient cardiovascular results and better treatment. “We see physicians looking for more automated procedures and processes to help them make better decisions based on more objective information,” Goldman-Aslan says. Until recently, the review of ultrasound images relied solely on the operator, which creates a layer of subjectivity. With AI analysis, the process becomes more objective and provides better information for the cardiovascular team to make decisions. The increase in cardiac procedures and a shortage of staff analysts available make DiA Imaging ultrasound analysis solutions integral.

“Improving the diagnostic time is super important,” Levi stresses. “It allows more patients to be diagnosed.” Together, DiA and Intel make these ultrasound capabilities scalable for healthcare.

Learn more about Health and Life Sciences by connecting with Yehudit Levi and Hila Goldman-Aslan on LinkedIn or visit: 

 Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Internet of Things Group.

Intel

Part of this channel

Intel

Silicon and AI platforms powering enterprise and edge compute.

Visit the channel

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Healthcare expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Healthcare expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

Tempus AI's $1.7B Personalis deal leads a surge in health-tech M&A that is already reshaping vendor choices for health system operators

Tempus AI's $1.7B Personalis deal leads a surge in health-tech M&A that is already reshaping vendor choices for health system operators

Digital health mergers and acquisitions (M&A) along with venture capital (VC) activities are rapidly increasing. Tempus AI's $1.7 billion acquisition of Personalis is part of a larger trend that is influencing health system operators’ selection of vendors. With $7.4 billion in funding during the first half of 2026, the health-tech industry is undergoing significant transformation.

  • 01Tempus AI acquired Personalis for $1.7 billion.
  • 02Health-tech received $7.4 billion in funding in the first half of 2026.
  • 03M&A activities are influencing vendor choices for health system operators.

Jul 30, 2026

Digital health AI investment hits $7.4B in H1 2026 as CMS, hospitals, and startups all accelerate adoption

Digital health AI investment hits $7.4B in H1 2026 as CMS, hospitals, and startups all accelerate adoption

In the first half of 2026, digital health AI investments reached $7.4 billion as organizations like CMS, hospitals, and startups increased their adoption of AI. Significant moves include the establishment of a new CMS technology office and a $1.7 billion acquisition in cancer technology. These developments mark an enterprise-level commitment to advancing AI in healthcare.

  • 01Digital health AI investments reached $7.4 billion in H1 2026.
  • 02The CMS established a new technology office to advance healthcare AI.
  • 03A major acquisition in cancer technology totaled $1.7 billion.

Jul 30, 2026

Sensor networks and AI push structural health monitoring toward a $8.6 billion market by 2035

Sensor networks and AI push structural health monitoring toward a $8.6 billion market by 2035

The global structural health monitoring (SHM) market is projected to surpass $8.6 billion by 2035. This growth is fueled by the integration of AI analytics, wireless sensor technologies, and the necessity to address aging infrastructure. The expansion reflects a widespread adoption of these technologies in various sectors.

  • 01The SHM market is expected to exceed $8.6 billion by 2035.
  • 02Advancements in AI-powered analytics and wireless sensors are key drivers of market growth.
  • 03Aging infrastructure is creating a demand for enhanced structural health monitoring solutions.

Jul 24, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512