의료 영상 진단의 AI : 선두 주자의 선봉대(Part II)

This IDC Perspective serves as a quick resource to learn about vendors competing in the medical imaging AI market. Innovations in AI for medical imaging should strive for more than disruption and buzz by also aiming to integrate the solutions into existing healthcare systems and workflows affordably and seamlessly. By doing so, vendors would be more aligned with the needs and priorities of the healthcare industry. Through collaborative efforts, the transformative potential of AI in medical imaging can be fully realized. Vendors must also always remember that they can play a pivotal role in shaping the future of healthcare by embracing ethical practices, fostering seamless integration, and ensuring that everyone has access to the benefits of AI as the field continues to evolve."When it comes to AI in medical imaging, vendors must go beyond developing disruptive algorithms and function as ethical gatekeepers too. They must safeguard privacy, anonymize data, and prevent bias in their tools by ensuring that their algorithms are as diverse in their function as the patients they serve," says Mutaz Shegewi, research director at IDC Health Insights. "Besides upholding the sanctity of healthcare ethics in AI for medical imaging and promoting equitable health outcomes, vendors must also serve as bridge builders by seamlessly integrating their AI solutions into the medical systems, applications, and workflows ecosystem. In other words, innovation must not only be disruptive but also harmonious."

Executive Snapshot

Situation Overview

• Overview
• Top Investment Priorities
• Best Practices

Advice for the Technology Buyer

• AGFA HealthCare
• Aidoc
• Annalise.ai
• AZMed
• Behold.ai
• Brainomix
• Change Healthcare
• Circle NVI
• GE Healthcare
• Google Cloud
• Hyland
• iCAD
• Lunit
• Merative
• Microsoft
• Nuance
• NVIDIA
• Philips Healthcare
• RapidAI
• Riverain Technologies
• Siemens Healthineers

Learn More

• Related Research
• Synopsis