Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology

Author:

Singla Nidhi1,Kundu Reetu2ORCID,Dey Pranab2ORCID

Affiliation:

1. Department of Microbiology Government Medical College and Hospital Chandigarh India

2. Department of Cytology and Gynaecological Pathology Postgraduate Institute of Medical Education and Research Chandigarh India

Abstract

AbstractArtificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has captured attention worldwide. It is translating research into precision oncology treatments. AI can analyse large or big data sets requiring high‐speed specialized computing solutions. The data are big in terms of volume and multimodal with the amalgamation of images, text and structure. Machine learning has identified antifungal drug targets, and taxonomic and phylogenetic classification of fungi based on sequence analysis is now available. Real‐time identification tools and user‐friendly mobile applications for identifying fungi have been discovered. Akin to histopathology, AI can be applied to fungal cytology. AI has been fruitful in cytopathology of the thyroid gland, breast, urine and uterine cervical lesions. AI has a huge scope in fungal cytology and would certainly bear fruit with its accuracy, reproducibility and capacity for handling big data. The purpose of this systematic review was to highlight the AI's utility in detecting fungus and its typing with a special focus on future application in fungal cytology. We also touch upon the basics of AI in brief.

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

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