Work

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases

Year: 2023

Type: review

Study design: Systematic Review

Source: Pathology - Research and Practice

DOI: 10.1016/j.prp.2023.154362

Authors: Stefano Marletta, Vincenzo L’Imperio, Albino Eccher, Pietro Antonini, Nicola Santonicco, Ilaria Girolami, Angelo Paolo Dei Tos, Marta Sbaraglia, Fabio Pagni, Matteo Brunelli, Andrea Marino, Aldo Scarpa, Enrico Munari, Nicola Fusco, Liron Pantanowitz

Institutions: University of Verona, Ospedale P. Pederzoli – Casa di Cura Privata S.p.a., Azienda Ospedaliera San Gerardo, University of Milano-Bicocca, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale di Bolzano, University of Padua, University of Catania, Ospedale Garibaldi, University of Brescia, European Institute of Oncology, University of Michigan

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4319320194

FWCI: 0.865

Cites: 35

Cited by: 49

Related to: 10