The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review

Platon Dimopoulos; Admir Mulita; Andreas Antzoulas; Sylvain Bodard; Vasileios Leivaditis; Ioanna Akrida; Nikolaos Benetatos; Konstantinos Katsanos; Christos-Nikolaos Anagnostopoulos; Francesk Mulita

doi:10.5114/pg.2024.143147

eISSN: 1897-4317
ISSN: 1895-5770

Gastroenterology Review/Przegląd Gastroenterologiczny

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3/2024
vol. 19

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Artykuł przeglądowy

The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review

Platon Dimopoulos

¹

,

Admir Mulita

^{2, 3}

,

Andreas Antzoulas

⁴

,

Sylvain Bodard

⁵

,

Vasileios Leivaditis

⁶

,

Ioanna Akrida

⁴

,

Nikolaos Benetatos

⁴

,

Konstantinos Katsanos

¹

,

Christos-Nikolaos Anagnostopoulos

³

,

Francesk Mulita

⁴

Department of Interventional Radiology, General University Hospital of Patras, Patras, Greece
Medical Physics Department, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece
Department of Surgery, General University Hospital of Patras, Patras, Greece
Department of Radiology, University of Paris Cite, Necker Hospital, Paris, France
Department of Cardiothoracic and Vascular Surgery, Westpfalz Klinikum, Kaiserslautern, Germany

DOI: https://doi.org/10.5114/pg.2024.143147

Data publikacji online: 2024/09/18

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AMA

Dimopoulos P, Mulita A, Antzoulas A, et al. The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review. Gastroenterology Review/Przegląd Gastroenterologiczny. 2024;19(3):221-230. doi:10.5114/pg.2024.143147.

APA

Dimopoulos, P., Mulita, A., Antzoulas, A., Bodard, S., Leivaditis, V.,  & Akrida, I. et al. (2024). The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review. Gastroenterology Review/Przegląd Gastroenterologiczny, 19(3), 221-230. https://doi.org/10.5114/pg.2024.143147

Chicago

Dimopoulos, Platon, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida,  and Nikolaos Benetatos et al. 2024. "The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review". Gastroenterology Review/Przegląd Gastroenterologiczny 19 (3): 221-230. doi:10.5114/pg.2024.143147.

Harvard

Dimopoulos, P., Mulita, A., Antzoulas, A., Bodard, S., Leivaditis, V., Akrida, I., Benetatos, N., Katsanos, K., Anagnostopoulos, C.,  and Mulita, F. (2024). The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review. Gastroenterology Review/Przegląd Gastroenterologiczny, 19(3), pp.221-230. https://doi.org/10.5114/pg.2024.143147

MLA

Dimopoulos, Platon et al. "The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review." Gastroenterology Review/Przegląd Gastroenterologiczny, vol. 19, no. 3, 2024, pp. 221-230. doi:10.5114/pg.2024.143147.

Vancouver

Dimopoulos P, Mulita A, Antzoulas A, Bodard S, Leivaditis V, Akrida I et al. The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review. Gastroenterology Review/Przegląd Gastroenterologiczny. 2024;19(3):221-230. doi:10.5114/pg.2024.143147.

Metryki PlumX:

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI’s ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning. Image processing techniques enhance data analysis by precise segmentation of liver structures, fusion of information from multiple modalities, and feature extraction for informed decision-making. Despite progress, challenges persist, including the need for standardised datasets and regulatory considerations.

The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review

Platon Dimopoulos 1 , Admir Mulita 2, 3 , Andreas Antzoulas 4 , Sylvain Bodard 5 , Vasileios Leivaditis 6 , Ioanna Akrida 4 , Nikolaos Benetatos 4 , Konstantinos Katsanos 1 , Christos-Nikolaos Anagnostopoulos 3 , Francesk Mulita 4

Platon Dimopoulos

¹

,

Admir Mulita

^{2, 3}

,

Andreas Antzoulas

⁴

,

Sylvain Bodard

⁵

,

Vasileios Leivaditis

⁶

,

Ioanna Akrida

⁴

,

Nikolaos Benetatos

⁴

,

Konstantinos Katsanos

¹

,

Christos-Nikolaos Anagnostopoulos

³

,

Francesk Mulita

⁴