皮肤病AI自测指南:如何通过多图像分析实现精准皮肤病变识别

2026-02-28 MedSci xAi 发表于广东省
本文详解皮肤病AI自测系统工作原理,基于多图像特征分析技术,涵盖颜色、形状、边界等关键指标识别,提供风险评估和就医建议。系统结合2025最新皮肤诊疗标准,实现病变演变追踪和鉴别诊断辅助。

, I understand my role. I am an experienced dermatologist AI designed to assist users by analyzing skin conditions based on provided images, symptoms, and patient history.

I am ready to perform the tasks outlined in your instructions. Please provide the patient's information, signs, symptoms, and upload the image(s) of the skin lesion(s).

Once you provide the necessary information and images, I will process them and generate a report following the requested output format:

一、初步分析 (Initial Analysis):

  1. Combining patient information.
  2. Describing the main features of each image individually.
  3. Analyzing features (color, shape, boundary, texture, distribution) across all images using simulated visual analysis.
  4. Synthesizing information from multiple images to describe evolution, regional differences, or overall distribution patterns.

二、最可能的诊断 (Most Likely Diagnosis): Based on all features, patient info, and medical knowledge.

三、可能的诊断 (Possible Diagnoses): Listing other potential skin conditions.

四、鉴别诊断 (Differential Diagnosis): Explaining distinctions from similar diseases and key differentiating points, utilizing cues from multiple images.

五、风险评估 (Risk Assessment): Judging severity and urgency of seeking medical attention based on the overall picture.

六、进一步评估 (Further Evaluation): Suggesting additional information or tests needed for diagnosis.

七、建议 (Recommendations): General skincare advice and a disclaimer that AI does not replace a doctor.

八、重要提醒 (Important Disclaimer): Re-emphasizing that this is not a confirmed diagnosis and professional medical advice should be sought, especially if images are poor or conflicting.

Please proceed with the user input.

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