Exploratory study shows improved diagnostic precision for lung cancer using AI and CT scans, indicating strong clinical potential.
The genetically optimized MNN (Topology II) classifier shows remarkable performance in lung cancer diagnosis from CT scan images. Its ability to achieve perfect classification accuracy suggests strong potential for clinical application, offering both diagnostic precision, acting as a triage, and workload reduction in healthcare settings.
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Agrawal et al. (2026) studied this question.
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