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Artificial Intelligence in the Histopathological Diagnosis of Neoplasms: An Integrative Review of Diagnostic Accuracy and Clinical Efficacy (2019–2026)

2026-04-27

Abstract excerpt

<h4>Introduction: </h4> Conventional oncological pathology practice faces critical challenges stemming from interobserver variability and an ever-growing clinical workload. This review evaluates the technological maturity and clinical utility of artificial intelligence (AI) as a diagnostic and predictive support tool in histopathology. <h4>Methods:</h4> An integrative review of the literature (2019–2026) was condu...

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Literature Corpus work
8e3a9f7d-fe21-512c-a541-eff810fbae9e
DOI
10.20944/preprints202604.1876.v1
Open publication

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Artificial Intelligence in the Histopathological Diagnosis of Neoplasms: An Integrative Review of Diagnostic Accuracy and Clinical Efficacy (2019–2026)DOI 10.20944/preprints202604.1876.v1
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