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 EraWhite Book"
As artificial intelligence is reshaping numerous industries at an unprecedented speed, the healthcare sector is also experiencing a profound transformation from experience-driven approaches to data-driven intelligence. Medical imaging encompasses 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 achieving large-scale application.
Previously, AI-based medical imaging was largely seen as a "second pair of eyes" for radiologists, primarily responsible for lesion detection, abnormal indication, and diagnostic assistance. With the continuous development of medical imaging foundation models, multimodal large models, and AI agents, AI is gradually extending into areas such as data governance, image analysis, structured reporting, quality control, remote collaboration, and research translation. Its role is evolving from a single auxiliary tool to a key force driving the digital and intelligent transformation of the broader medical imaging ecosystem.
This white book begins with the current development status 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 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.
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 spans the entire patient care pathway, including disease screening, clinical diagnosis, treatment planning, therapeutic response assessment, and follow-up management. Characterized by its high frequency of use, 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, abnormality 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 pathways 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 regarding the global digital and intelligent medical imaging ecosystem development in the AGI era, please contact us:
Mr. Mao, Frost & Sullivan
E-mail: fred.mao@frostchina.com
