What happened
Deus Technologies of Rockville, Maryland, built the RapidScreen RS-2000, which marks possible lung nodules on digitized chest radiographs. Its classifier combines heuristic rules, an artificial neural network and fuzzy logic. It was developed on more than 1,000 radiographs with early lung cancer and more than 10,000 cancer-free images. In a reader study at Georgetown University Medical Center, 15 community radiologists read 240 archived films, 80 of them with cancer. They first read every film without the system. At least a month later, they read each film again, first alone and then with the marks. FDA reviewers report that the area under the ROC curve rose from 0.8288 to 0.8654. Sensitivity rose from 71% to 78%, and the false positive fraction rose from 21% to 22%. FDA approved the device on 12 July 2001. The films came from male heavy smokers aged 45 or older, and the system placed 5.3 false positive marks per image.
Sources
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Regulatory document, by authors with no tie to the system.
A physician using the RS-2000 system can increase her or his ROC performance on chest x-ray radiographs for lung cancers 9.5-27.5 mm in size, which are usually early-stage lung cancers, of which only 15% are currently detected without computer aid (according to the American Cancer Society).
Details
AI system
- Workflow
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Each chest radiograph was digitized, and the system marked suspected nodules above a fixed likelihood threshold. Radiologists read each film without the system before they reviewed the marked image.
Follow-up
- Conditions for replication
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The physician completes an initial interpretation before consulting the marks. The patient belongs to the group in which the device was validated, adult male smokers aged 45 or older at high risk for cancer.
Entry details
- Sector
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Healthcare.
- Purpose
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Deus Technologies built the RapidScreen RS-2000 to mark regions of interest on frontal chest radiographs that could be early-stage lung cancer, for physicians to recheck after their own reading.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). RapidScreen RS-2000 helped radiologists spot small lung cancers (AIBD-0798). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0798.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)