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Updated: Jun 26, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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Published on: October 27, 2023

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皮肤莱什曼病诊断中的人工智能:当前的发展和未来的前景

Hasnaa Talimi1,2, Kawtar Retmi3, Rachida Fissoune2

  • 1Laboratory of Parasitology and Vector-Borne-Diseases, Institut Pasteur du Maroc, Casablanca 20360, Morocco.

Diagnostics (Basel, Switzerland)
|May 11, 2024
PubMed
概括

人工智能 (AI) 在诊断皮肤莱什曼病 (CL) 方面表现有前途,这是一个全球健康挑战. 需要进一步的研究来解决发现的差距,并开发强大的AI系统,以改善在特有地区的CL检测.

关键词:
人工智能的人工智能是人工智能.皮肤上的莱什曼病.诊断 诊断 诊断 诊断 诊断 诊断

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MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
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