Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology.
Cytopathology
; 35(2): 226-234, 2024 Mar.
Article
en En
| MEDLINE
| ID: mdl-37970960
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Neoplasias
Tipo de estudio:
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
Cytopathology
Asunto de la revista:
PATOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
India