The Gaps in Clinical Reasoning of AI: A Closer Look at Limitations
AI models in oncology show promise but fail in decisive clinical reasoning. While they boast 68% accuracy, they stumble in effective data gathering.
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Is AI ruining our skills? Early results are in — and they’re not good
AI deskilling is real: Polish doctors lost diagnostic accuracy on AI-free days, and early data on software engineers looks similar
Is AI ruining our skills? Early results are in — and they’re not good
AI deskilling is real: Polish doctors lost diagnostic accuracy on AI-free days, and early data on software engineers looks similar
Is AI ruining our skills? Early results are in — and they’re not good
AI deskilling is real: Polish doctors lost diagnostic accuracy on AI-free days, and early data on software engineers looks similar
Is AI ruining our skills? Early results are in — and they’re not good
AI deskilling is real: Polish doctors lost diagnostic accuracy on AI-free days, and early data on software engineers looks similar
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theconversation.com·1mo agoHow AI is reshaping oncologists' trust in their own clinical judgment
Oncologists spend years learning to trust their own judgment, an ability that marries intuition with reasoning. What happens to that hard-wo
We stress tested many frontier AI models for multimodal medical reasoning (including GPT-5, Claude 3.5, Gemini 2.5 Pro). They’re not ready. Faulty reasoning, use of inappropriate shortcuts, hallucinat
We stress tested many frontier AI models for multimodal medical reasoning (including GPT-5, Claude 3.5, Gemini 2.5 Pro). They’re not ready.
We stress tested many frontier AI models for multimodal medical reasoning (including GPT-5, Claude 3.5, Gemini 2.5 Pro). They’re not ready. Faulty reasoning, use of inappropriate shortcuts, hallucinat
We stress tested many frontier AI models for multimodal medical reasoning (including GPT-5, Claude 3.5, Gemini 2.5 Pro). They’re not ready.

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