Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …
technique called artificial neural networks to extract patterns and make predictions from …
The role of artificial intelligence in early cancer diagnosis
B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …
effective treatment in many tumour groups. Key approaches include screening patients who …
A foundation model for clinical-grade computational pathology and rare cancers detection
The analysis of histopathology images with artificial intelligence aims to enable clinical
decision support systems and precision medicine. The success of such applications …
decision support systems and precision medicine. The success of such applications …
Virchow: A million-slide digital pathology foundation model
Computational pathology uses artificial intelligence to enable precision medicine and
decision support systems through the analysis of whole slide images. It has the potential to …
decision support systems through the analysis of whole slide images. It has the potential to …
Artificial intelligence in diagnostic pathology
S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
C McGenity, EL Clarke, C Jennings, G Matthews… - npj Digital …, 2024 - nature.com
Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical
practice is essential. Growing numbers of studies using AI for digital pathology have been …
practice is essential. Growing numbers of studies using AI for digital pathology have been …
Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection
P Raciti, J Sue, JA Retamero… - … of Pathology & …, 2023 - meridian.allenpress.com
Context.—Prostate cancer diagnosis rests on accurate assessment of tissue by a
pathologist. The application of artificial intelligence (AI) to digitized whole slide images …
pathologist. The application of artificial intelligence (AI) to digitized whole slide images …
Explainability and causability in digital pathology
The current move towards digital pathology enables pathologists to use artificial intelligence
(AI)‐based computer programmes for the advanced analysis of whole slide images …
(AI)‐based computer programmes for the advanced analysis of whole slide images …
[HTML][HTML] Integrating digital pathology into clinical practice
The field of anatomic pathology has been evolving in the last few decades and the
advancements have been largely fostered by innovative technology. Immunohistochemistry …
advancements have been largely fostered by innovative technology. Immunohistochemistry …
Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies
J Sandbank, G Bataillon, A Nudelman, I Krasnitsky… - NPJ Breast …, 2022 - nature.com
Breast cancer is the most common malignant disease worldwide, with over 2.26 million new
cases in 2020. Its diagnosis is determined by a histological review of breast biopsy …
cases in 2020. Its diagnosis is determined by a histological review of breast biopsy …