Dermatopathology (Sep 2021)
Artificial Intelligence in Dermatopathology: New Insights and Perspectives
- Gerardo Cazzato,
- Anna Colagrande,
- Antonietta Cimmino,
- Francesca Arezzo,
- Vera Loizzi,
- Concetta Caporusso,
- Marco Marangio,
- Caterina Foti,
- Paolo Romita,
- Lucia Lospalluti,
- Francesco Mazzotta,
- Sebastiano Cicco,
- Gennaro Cormio,
- Teresa Lettini,
- Leonardo Resta,
- Angelo Vacca,
- Giuseppe Ingravallo
Affiliations
- Gerardo Cazzato
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Anna Colagrande
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Antonietta Cimmino
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Francesca Arezzo
- Section of Ginecology and Obstetrics, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Vera Loizzi
- Section of Ginecology and Obstetrics, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Concetta Caporusso
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Marco Marangio
- Section of Informatics, University of Salento, 73100 Lecce, Italy
- Caterina Foti
- Section of Dermatology, Department of Biomedical Science and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Paolo Romita
- Section of Dermatology, Department of Biomedical Science and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Lucia Lospalluti
- Section of Dermatology, Department of Biomedical Science and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Francesco Mazzotta
- Pediatric Dermatology and Surgery Outpatients Department, Azienda Sanitaria Locale Barletta-Andria-Trani, 76123 Andria, Italy
- Sebastiano Cicco
- Section of Internal Medicine, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Gennaro Cormio
- Section of Ginecology and Obstetrics, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Teresa Lettini
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Leonardo Resta
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- Angelo Vacca
- Section of Internal Medicine, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy
- Giuseppe Ingravallo
- Section of Pathology, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy
- DOI
- https://doi.org/10.3390/dermatopathology8030044
- Journal volume & issue
-
Vol. 8,
no. 3
pp. 418 – 425
Abstract
In recent years, an increasing enthusiasm has been observed towards artificial intelligence and machine learning, involving different areas of medicine. Among these, although still in the embryonic stage, the dermatopathological field has also been partially involved, with the attempt to develop and train algorithms that could assist the pathologist in the differential diagnosis of complex melanocytic lesions. In this article, we face this new challenge of the modern era, carry out a review of the literature regarding the state of the art and try to determine promising future perspectives.
Keywords
