A decision support system for the detection of cutaneous fungal infections using artificial intelligence.

Naama Rappoport¹, Gil Goldinger², Assaf Debby³, Yosef Molchanov⁴, Yoash Barak⁵, Jacob Gildenblat⁶, Ofir Hadar⁷, Chen Sagiv⁸, Aviv Barzilai⁹

¹Department of Dermatology, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel; Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel; Department of Dermatology, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel Aviv University, Israel. Electronic address: nimarap123@gmail.com.

²Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel. Electronic address: Gil.Goldinger@sheba.health.gov.il.

³Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel. Electronic address: Assaf.Debby@sheba.health.gov.il.

⁴Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel. Electronic address: Yossef.Molchanov@sheba.health.gov.il.

⁵Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel. Electronic address: Yoash.Barak@sheba.health.gov.il.

⁶DeePathology Ltd., HaTidhar 5, Ra'anana, Israel. Electronic address: jacob@deepathology.ai.

⁷DeePathology Ltd., HaTidhar 5, Ra'anana, Israel. Electronic address: ofir@deepathology.ai.

⁸DeePathology Ltd., HaTidhar 5, Ra'anana, Israel. Electronic address: chen@deepathology.ai.

⁹Institute of Pathology, Sheba Medical Center, Ramat Gan, Israel; Department of Dermatology, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel Aviv University, Israel. Electronic address: Aviv.Barzilai@sheba.health.gov.il.

PubMed DOI

Abstract

Cutaneous fungal infections are one of the most common skin conditions, hence, the burden of determining fungal elements upon microscopic examination with periodic acid-Schiff (PAS) and Gomori methenamine silver (GMS) stains, is very time consuming. Despite some morphological variability posing challenges to training artificial intelligence (AI)-based solutions, these structures are favored potent…

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