Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management
Sensors (Basel, Switzerland)
case report reflects delayed diagnosis 27yearold woman reported chest pain shortness breath emergency department treating clinician reflects upon cognitive biases influenced diagnostic process multiple missed opportunities resulted missteps using artificial intelligence ai tools clinical decisionmaking suggest ai could augment clinician case delayed diagnosis avoided incorporating ai tools clinical decisionmaking brings potential benefits including improved diagnostic accuracy addressing human factors contributing medical errors example may support realtime interpretation medical imaging assist clinicians generating differential diagnosis ensuring critical diagnoses considered however vital aware potential pitfalls associated use ai automation bias input data quality issues limited clinician training interpreting ai methods legal ethical considerations associated use report draws attention utility ai clinical decisionsupport tools overcoming human cognitive biases also emphasizes importance clinicians developing skills needed steward adoption ai tools healthcare serve patient advocates ensuring safe effective use health data