Medical Imaging and AI: Better Solutions for Healthcare for Today and in the Future

Intel is pleased to announce that we will be hosting a Corporate Symposium at this year’s RSNA conference in Chicago. The symposium will be the third installment in Intel’s popular SOLVE: HealthCare series. These events bring together thought leaders, practitioners, and change-makers from across the healthcare ecosystem to debate and instigate change around today’s most pressing healthcare issues. Our symposium at RSNA is focused on the disruption that artificial intelligence (AI) is creating in the medical imaging space. Titled “SOLVE: Medical Imaging and AI—Building Better Solutions for Today and in the Future”, the symposium will explore three key themes:

  • Moving beyond being “data rich, but insight poor” in medical imaging using AI/deep learning.
  • The use of AI to augment radiologists, not a replacement.
  • Upcoming AI innovations in medical imaging and beyond that will enable the delivery of precision/personalized medicine.

Today, 90% of all healthcare data comes from medical imaging. It’s a lot of information, and more than 97% of it goes unanalyzed or unused. As healthcare organizations become more effective at analyzing their structured EMR data for predictive solutions, they are also realizing that AI has the potential to incorporate unstructured data into actionable insights. The artificial intelligence industry for healthcare is poised to explode from less than $1 billion in 2017 to more than $34 billion by 2025. Medical imaging’s portion of that will likely be more than $2.5 billion by 2025. The applications for AI span operational, financial, and clinical use cases that will touch almost every part of the industry.

So what is happening today with AI in healthcare—and what should we expect over the next five to 10 years? This symposium will provide the perspective of different healthcare ecosystem members involved in this shift while exploring the realities of AI today and the opportunities for AI in the future.

Impact of Artificial Intelligence Today

AI in healthcare is real; in fact, 37% of survey respondents in a recent study are already using it today in use cases that range from operational to financial to clinical. Research by Intel at this year’s HLTH conference highlighted the fact that most healthcare organizations start their AI journey with either operational or financial use cases. These use cases tend to carry lower risk, have workflows that are easier to change, and shorter time to prove an ROI. With the broader availability of technologies like deep learning, AI deployments are now extending into clinical use cases. Here are a few examples of how Intel® software and hardware technologies are powering AI today.

AccuHealth uses AI to remotely monitor patients with promising results. They recently monitored 15,000 patients and drove a 42% decrease in ER visits, reducing costs to insurers by up to 50% per patient. Aier hospital delivers solutions for opthamology, an area where not enough specialists are available to meet the needs of China’s population. Aier’s solution is optimized for Intel® architecture to help speed deep-learning throughput for efficient, high-quality, and cost-effective eye-health screening in clinics, flagging cases that require a closer look by specialists:

  • AI-enhanced medical imaging solutions by Philips brings the benefits of AI to radiologists without significantly increasing system cost and without requiring modifications to existing hardware already deployed in hospitals.
  • AI-enhanced radiology workflow solutions delivered by GE Healthcare and powered by Intel can automate and assist radiologists without interrupting the workflow.

Potential of Artificial Intelligence for the Future

The massive and ever-increasing volume of radiologist workloads represents an excellent opportunity for AI to help improve workflow. AI can process thousands of images in seconds, calling out specific pathologies and helping to prioritize the most complicated cases that require the attention of specialists. This type of application can help radiologists work faster and smarter, allowing the healthcare system to keep up with the rising demand of services from today’s aging population. The opportunity for AI is fueling a growing startup ecosystem that seeks to apply AI as an aide to radiologists and clinicians.  Members of the Intel AI Builders Program are putting to work the 99 percent of previously unused data into insights. At the symposium, three startups in this space—MaxQ AI, HY and Subtle Medical—will share their innovative solutions.

Please join us at the event to discover how these and other healthcare organizations are using AI technology in new and unexpected ways; RSVP today.

SOLVE: Healthcare

Published on Categories Health & Life SciencesTags , ,
Jennifer Esposito

About Jennifer Esposito

Jennifer believes that technology has the power to accelerate the transformation of healthcare and to improve health, quality of life, safety, and security worldwide. She works with companies, organizations, and governments around the world to help make this digital transformation real, today. With 20 years of experience, Jennifer brings deep healthcare, life sciences, and biotechnology industry expertise along with a foundation in information and communication technology, and a view that spans across multiple other industries. Jennifer has a graduate degree from the Dartmouth Institute for Health Policy and Clinical Practice at Dartmouth College, where she focused on Epidemiology and Biostatistics. During her time at GE Healthcare, she became a certified Six Sigma Black Belt and remains a full member of the American Association of Physicists in Medicine. Jennifer is the co-chair of the Global Health Security Agenda Private Sector Roundtable and sits on the boards of Digital Square and USA Healthcare Alliance. Follow her @Jennifer_Espo and @IntelHealth.