Chest X-rays obtained as part of a health checkup in a 65-year-old male patient. (IMAGE)

Radiological Society of North America

Chest X-rays obtained as part of a health checkup in a 65-year-old male patient.

Caption

(A, B) Chest radiographs obtained as part of a health checkup in a 65-year-old male patient show reader susceptibility to low diagnostic accuracy performance artificial intelligence (AI). In the first session without AI, a thoracic radiologist with 17 years of experience annotated the mass opacity in the right upper lung zone as lung cancer (box annotation) (A). Low diagnostic accuracy AI suggested the radiograph as normal (B). When presented with the AI suggestion at the second reading session, the radiologist changed the decision and determined this radiograph was normal. (C, D) Contrast-enhanced chest CT scans show a 3-cm lung mass (arrow) in the right upper lobe in the axial (C) and coronal (D) planes. The mass was pathologically proven to be invasive adenocarcinoma. Therefore, the reader’s decision was correct in the first session but incorrect in the second session after following the AI suggestion.

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Radiological Society of North America

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