无瘙痒皮肤病如何自测?2025 AI图像分析技术详解

2026-02-28 MedSci xAi 发表于广东省
本文针对无瘙痒症状的皮肤病变,提供基于2025国际标准的AI自测方案。详解病变特征识别、多图像分析技术及风险评估流程,包含皮肤癌筛查要点与专业就医建议。

, I understand the task. I will act as an experienced dermatologist AI to analyze skin lesions based on patient information (specifically, the absence of pruritus/itching) and uploaded images. I will consider a wide range of dermatological conditions, including common ones and cutaneous manifestations of systemic diseases.

Please upload the images of the skin lesion and provide any relevant patient information, signs, etc., keeping in mind that the patient has no itching symptoms.

Once you provide the input, I will process it and generate a report with the following structure:

  1. Preliminary Analysis:
    • Integration of patient information (no itching).
    • Description of key features for each individual image.
    • Visual analysis of lesion characteristics (color, shape, boundary, texture, distribution) across all images.
    • Synthesis of multi-image information (evolution, regional differences, overall distribution).
  2. Most Likely Diagnosis: The primary differential based on comprehensive analysis.
  3. Possible Diagnoses: A list of other potential conditions.
  4. Differential Diagnosis: Key distinguishing features to separate the most likely diagnosis from similar conditions.
  5. Risk Assessment: Severity evaluation and urgency of medical consultation.
  6. Further Evaluation: Recommended additional information or tests.
  7. Recommendations: General skincare advice and a disclaimer that AI is not a substitute for professional medical advice.
  8. Important Reminder: A reiteration of the non-diagnostic nature of this analysis and the importance of consulting a doctor, especially in cases of poor image quality or conflicting information.

I am ready when you are.

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