皮肤病学家在开发人工智能工具中的作用,用于诊断和分类皮肤疾病
Sara D Ragi1, Amar D Desai1, Rachel C Hill1
1Dr. Ragi is from the Warren Alpert Medical School of Brown University, Providence, Rhode Island. Dr. Desai is from Rutgers New Jersey Medical School, Newark. Drs. Hill and Lipner are from Weill Cornell Medical College, New York, New York. Dr. Lipner is from the Department of Dermatology.
这项研究评估了用于诊断皮肤疾病的人工智能 (AI) 工具,重点关注皮肤科医生在开发AI技术和训练数据集中发挥的关键作用,以提高准确性.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在诊断和分类皮肤病方面表现有前途.
- 关于皮肤科医生参与AI开发非皮肤癌皮肤病的研究有限.
研究的目的:
- 分析AI工具用于皮肤疾病诊断和分类.
- 评估皮肤科医生参与人工智能创造的影响.
- 调查数据集大小及其对AI性能的影响.
主要方法:
- 对皮肤病症分类人工智能工具的系统审查.
- 与皮肤科医生参与或不参与开发的AI工具的比较.
- 分析用于训练人工智能模型的数据集大小.
主要成果:
- 人工智能工具越来越多地用于皮肤病诊断.
- 皮肤科医生参与人工智能开发需要进一步调查.
- 数据集的大小和质量对于AI性能至关重要.
结论:
- 需要进一步的研究,以了解皮肤科医生在皮肤病人工智能开发中的最佳作用.
- 数据集和验证方法的标准化对于皮肤疾病分类中可靠的AI工具至关重要.
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