How AI has moved from the sidelines to the center of health care
· Medical Xpressby CSIRO
edited by Stephanie Baum, reviewed by Andrew Zinin
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A new CSIRO report titled "AI Trends for Healthcare" reveals how AI is now embedded in real-world clinical settings for more connected, safer and more efficient health care.
"For many years, AI has largely been 'under the hood'—a powerful but often invisible technology understood mostly by technical experts," said Dr. David Hansen, CEO and Research Director of CSIRO's Australian e-Health Research Centre. "The rapid rise of generative AI has changed that. These tools have brought AI into the spotlight and accelerated its integration into health care—while also sharpening the focus on safety, quality and responsible use."
The report demonstrates how AI is already delivering measurable benefits across health care, from clinical decision support and medical imaging analysis to disease management and personalized care.
In one case study, AI is being used to generate synthetic CT scans from MRI images, helping clinicians plan more accurate radiotherapy treatment and reducing patients' exposure to radiation.
As health care organizations, researchers, industry and governments adopt AI, the report emphasizes that realizing AI's full potential depends on strengthening the systems that underpin it.
"As health care systems increasingly rely on AI-powered tools, the need for robust evidence, quality assurance and community co-designed standards has never been greater," said Dr. Hansen.
The report also examines emerging technologies such as multimodal AI and AI-assisted software development, offering insight into the innovations shaping the next generation of health care.
"We found new AI technologies need to be developed hand-in-hand with clinicians and industry. The research in this report signifies rich collaboration and therefore equally rich real-world utility," Dr. Hansen explained.
The report identifies key challenges that must be addressed to ensure AI technologies are safe and effective at scale, including regulation, quality management, data governance and digital health interoperability.
It also outlines the critical role of national digital health standards, including work underway through Sparked, Australia's Fast Healthcare Interoperability Resources accelerator, to ensure new AI technologies can integrate effectively across the health care system and support connected, patient-centered care.
With more than two decades of experience developing health care AI, Dr. Hansen said the sector is entering a new critical phase.
"We are in a pivotal new chapter where responsible innovation, rigorous evidence and collaboration will determine how successfully AI delivers on its promise for patients, clinicians and communities." Dr. Hansen said.
The report provides practical exemplars for researchers, policymakers and industry leaders seeking to understand what comes next and how Australia can realize the full benefits of AI-enabled health care.
More information
AI trends for healthcare (2026)
Key medical concepts
Clinical categories
Diagnostic radiology Provided by CSIRO Who's behind this story?
Stephanie Baum
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