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Updated: Jun 20, 2026

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评估大型语言模型 (LLM) 在已建立的乳腺分类系统上的性能

Syed Ali Haider1, Sophia M Pressman1, Sahar Borna1

  • 1Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.

Diagnostics (Basel, Switzerland)
|July 27, 2024
PubMed
概括

双子号在使用医疗人工智能对复杂的乳腺疾病进行分类时,比ChatGPT-4 (71%) 显示出更高的准确性 (98%). 这一进步有望改善整形外科医生的诊断支持,并改善患者的治疗结果.

关键词:
人工智能的人工智能是人工智能.乳房 乳房 乳房 乳房乳腺瘤的发生.囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则是指囊合则.异胎乳腺组织 异胎乳腺组织确立性别的乳腺切除术妇产不适症 妇产不适症大型语言模型.机器学习是机器学习.整形外科 整形外科 整形外科

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相关概念视频

Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,