Frost & Sullivan Releases the‘AGI Era Global Digital and Intelligent Medical Imaging Ecosystem Development White Book’’
Frost & Sullivan Releases the “ ‘Global Digital and Intelligent Medical Imaging Ecosystem Development in the AGI Era’White Book’’
As artificial intelligence reshapes industries at an unprecedented pace, the healthcare sector is undergoing a profound transformation from experience-driven practices to data-driven intelligence. Medical imaging covers the entire patient care process, including disease screening, clinical diagnosis, treatment planning, therapeutic response assessment, and follow-up management. Characterized by its high usage frequency, large data volume, and clear clinical value, medical imaging has become one of the key healthcare areas where AI is being widely applied.
Previously, AI in medical imaging was mainly seen as a “second pair of eyes” for radiologists, handling tasks such as lesion detection, abnormal identification, and diagnostic assistance. With the continuous advancement of medical imaging foundation models, multimodal large models, and AI agents, AI is gradually extending to areas such as data governance, image analysis, structured reporting, quality control, remote collaboration, and research translation. Its role is evolving from a standalone tool to a significant force driving the digital and intelligent transformation of the medical imaging ecosystem.
This white book begins with the current state and practical challenges of the medical imaging ecosystem, analyzes how AI empowers medical imaging services, clinical diagnosis and treatment, and ecosystem-wide collaboration in the AGI era, and presents relevant applications in typical clinical scenarios such as neuroimaging, chest imaging, and knee imaging. Based on this, the white book further explores future development paths for the digital and intelligent medical imaging ecosystem. Through this research, we hope to help the public and industry participants better understand the development of the medical imaging ecosystem and how medical imaging AI can truly become a partner and “digital counterpart” to physicians during the clinical care process.
As artificial intelligence reshapes industries at an unprecedented pace, healthcare is undergoing a profound transformation from experience-driven practices to data-driven intelligence. Medical imaging covers the entire patient care pathway, including disease screening, clinical diagnosis, treatment planning, therapeutic response assessment, and follow-up management. Characterized by its high usage frequency, large volumes of data, and clear clinical value, medical imaging has become one of the key healthcare fields in which AI is achieving large-scale adoption.
Historically, AI in medical imaging was primarily regarded as a “second pair of eyes” for radiologists, supporting tasks such as lesion detection, abnormal identification, and diagnostic assistance. With the continued development of medical imaging foundation models, multimodal large models, and AI agents, AI is gradually expanding into data governance, image analysis, structured reporting, quality control, remote collaboration, and research translation. Its role is evolving from that of a point solution into a key force driving the digital and intelligent transformation of the broader medical imaging ecosystem.
Starting with the current development status and practical challenges of the medical imaging ecosystem, this white paper examines how AI empowers medical imaging services, clinical diagnosis and treatment, and ecosystem-wide collaboration in the AGI era. It also presents relevant applications across representative clinical scenarios, including neuroimaging, chest imaging, and knee imaging. On this basis, the white paper further explores future development paths for the digital and intelligent medical imaging ecosystem. Through this research, we aim to provide the public and industry participants with a clearer understanding of how the medical imaging ecosystem is evolving and how medical imaging AI can truly become a partner and “digital counterpart” to physicians throughout the clinical care process.
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If you have further research needs on the global digital and intelligent medical imaging ecosystem development in the AGI era, please contact us:
Mr. Mao Mao from Frost & Sullivan
E-mail: fred.mao@frostchina.com
