REVIEW
Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology
Nidhi Singla,
Reetu Kundu,
Pranab Dey,
Nidhi Singla
Department of Microbiology, Government Medical College and Hospital, Chandigarh, India
Search for more papers by this authorCorresponding Author
Reetu Kundu
Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Correspondence
Reetu Kundu, Department of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Email: [email protected]
Search for more papers by this authorPranab Dey
Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Search for more papers by this authorNidhi Singla,
Reetu Kundu,
Pranab Dey,
Nidhi Singla
Department of Microbiology, Government Medical College and Hospital, Chandigarh, India
Search for more papers by this authorCorresponding Author
Reetu Kundu
Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Correspondence
Reetu Kundu, Department of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Email: [email protected]
Search for more papers by this authorPranab Dey
Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Search for more papers by this authorFirst published: 16 November 2023
Nidhi Singla and Reetu Kundu are first co-authors.
Abstract
Artificial 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.
Graphical Abstract
This systematic review highlights the utility of Artificial Intelligence (AI) in detecting fungus and its typing with a special focus on future application in fungal cytology. The basics of AI have been touched upon in brief.
CONFLICT OF INTEREST STATEMENT
There is no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
No new data were generated.
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