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Skip search results from other journals and go to results- 802 Journal of Medical Internet Research
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Furthermore, we evaluated the follicular TI-RADS scoring criteria developed by Li et al [34] with our data and found a lower sensitivity (0.044 with a threshold for FTC risk set at >90%, and 0.269 with using a >50% FTC risk threshold) in evaluating the prediction model. These inconsistencies and the reduced sensitivity observed in external datasets may, at least in part, be attributed to the limitation of not considering tumor size when predicting the malignancy risk.
JMIR Cancer 2025;11:e73069
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Li et al [81] drew development and deployment road maps of artificial general intelligence (AGI; see the glossary in Multimedia Appendix 1) models (mainly MLLMs) in medical imaging while also providing key insights into potential challenges and pitfalls. While there is no consensus on what AGI is, one may view an AGI system as a form of artificial intelligence (AI) with a general scope with the ability to perform well across various goals and contexts [17].
J Med Internet Res 2025;27:e71916
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