Philips thinks outside-the-box by turning shipping containers into individual CT and X-ray scan rooms.
When is a shipping container not a shipping container? When it is mobile CT or X-ray pod.
In an effort to keep radiologists, technologists, and patients as safe as possible while still conducting necessary imaging for the growing number of patients who are testing positive for COVID-19, radiology vendor Philips is outfitting shipping containers to be used as imaging pods in the Philippines. These units will be mobile and can be placed where they are needed most – within hospitals, on facility grounds, or in the community, company officials said.
Plans are currently in place, according to company details, for officials in the Philippines to begin using these CT and X-ray cabins to triage patients. The individual nature of these pods means that healthcare providers can instantly isolate a patient if their scans point to COVID-19 infection.
Related Content: Walk-Up X-ray Booth Offers Quick Scans to COVID-19 Patients
“Limiting the chance of cross-infection is especially important during triage, when infected and uninfected patients share the same diagnostic pathway,” company officials said. “When you add in the need to upscale and deploy diagnostic facilities in an agile way to cope with increasing patient numbers and localized COVID-19 outbreaks, it makes sense to find new ways to deploy and install diagnostic solutions.”
Each cabin will be equipped with Philips CT solutions, including Access CT and Incisive CT, or X-ray solutions, including DuraDiagnost and DuraDiagnost F30. Additionally, every cabin will have an integral lead shield to reduce stray radiation, as well as ultraviolet lamps that can be used to sterilize the workspace between patients and a laboratory-grade computer for in-the-moment results analysis.
Everything, company officials said, will be configured to let radiologists conduct diagnostic imaging procedures with as little patient contact as possible.
It is possible, company officials siad, that these pods will have functionality beyond the COVID-19 pandemic. They could also potentially be used for emergency rescue, as well as in disaster relief zones.
CT Perfusion Study Shows Enhanced Detection of Medium Vessel Occlusions with Emerging AI Software
May 21st 2025The Rapid CTP AI software offered 23 percent greater detection of medium vessel occlusions in comparison to the Viz CTP AI software, according to research presented at the European Stroke (Organization) Conference (ESOC).
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.