The radiology team wanted to automate time-consuming image analysis tasks so radiologists could spend less time drawing contours and more time with patients, while also using image classification to narrow CT scan coverage and reduce unnecessary X-ray exposure.
Reported impact
HCL reduced manual contouring and quantification work, enabling radiologists to spend more time with patients; the team also reported lower CT radiation exposure through better scan targeting and faster longitudinal assessment of lung disease.
Hospices Civils de Lyon (HCL) worked with Philips to embed AI into radiology workflows inside Philips Advanced Visualization Workspace, the post-processing platform used by radiologists. CT studies are brought into the workspace, where co-developed algorithms first classify the relevant anatomy so technicians can limit scans to the needed region, then segment structures and disease burden for follow-up and reporting. The source says applications created through the partnership were productized in Advanced Visualization Workspace, including CT Pulmo Auto Results, CT Scanner Console, and CT Liver Analysis. HCL also used lung segmentation together with a dedicated lung parenchyma analysis module to quantify emphysema and COVID-19 lesions, and used AI to quantify pulmonary fibrosis progression in seconds rather than manual multi-hour review. Results are returned to clinicians inside the Philips software so contours, percentages, and measurements can support diagnosis, reporting, and patient discussions. The source does not name a separate storage tier or third-party integrations.
CT images from chest, cardiac, and other radiology exams are processed in Philips Advanced Visualization Workspace. AI models classify the region of interest, segment lungs and aneurysm anatomy, and calculate percentages or other measurements for emphysema, COVID-19 lesions, and pulmonary fibrosis progression. Those outputs are then shown back to radiologists inside the Philips workflow for reporting and patient follow-up.
“HCL and Philips collaborated on the development of several algorithms and applications that are now part of Advanced Visualization Workspace, including CT Pulmo Auto Results, CT Scanner Console, and CT Liver Analysis.”
“Reducing the margin could reduce the X-ray dose on average by 20 per cent.”
“Using AI, we can now quantify the decay of the lung in a matter of seconds. By hand, it takes several hours per patient.”
“We needed to free up time to spend with patients. Every minute of drawing circles on images is a minute that cannot be spent talking to a patient, explaining their medical condition, or answering questions.”
“With AI, those five minutes are reduced to a few seconds. This means we can spend over twice as much time with our patients, discussing the outcome, answering questions, and offering explanations.”
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The listing describes HCL as 13 public hospitals and a public-service healthcare institution; it reports a community of 24,000 people.
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