An overview of artificial intelligence/deep learning

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Author(s)
Garland, Jack
Hu, Mindy
Kesha, Kilak
Glenn, Charley
Duffy, Michael
Morrow, Paul
Stables, Simon
Ondruschka, Benjamin
Da Broi, Ugo
Tse, Rexson
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2021
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Abstract

Artificial intelligence (AI) technologies have had increasing use in numerous medical and non-medical applications. Deep learning AI in particular is no longer a matter for research only and has been used in clinical practice applications in radiology and histopathology for years. Whilst radiology, photography and histopathology are large components of modern forensic pathology practice, AI image analysis and recognition technologies have not been used in forensic pathology to the same extent as they have in other medical specialties. This talk aims to provide an introductory explanation of AI and deep learning technologies. Additionally, this talk will discuss published research by the presenters on applications of deep learning technology to post mortem radiology, post mortem histology and macroscopic organ photographs, all conducted using freely available opensource software.

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Pathology

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Royal College of Pathologists of Australasia – Pathology Update 2021 Abstracts

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53

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S1

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Subject

Artificial intelligence

Deep learning

Clinical sciences

Oncology and carcinogenesis

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Garland, J; Hu, M; Kesha, K; Glenn, C; Duffy, M; Morrow, P; Stables, S; Ondruschka, B; Da Broi, U; Tse, R, An overview of artificial intelligence/deep learning, Pathology, 2021, 53 (S1), pp. S6-S6