A survey on artificial intelligence in histopathology image analysis

MM Abdelsamea, U Zidan, Z Senousy… - … : Data Mining and …, 2022 - Wiley Online Library
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …

[HTML][HTML] AI in computational pathology of cancer: improving diagnostic workflows and clinical outcomes?

D Cifci, GP Veldhuizen, S Foersch… - Annual Review of …, 2023 - annualreviews.org
Histopathology plays a fundamental role in the diagnosis and subtyping of solid tumors and
has become a cornerstone of modern precision oncology. Histopathological evaluation is …

Explainable AI (xAI) for anatomic pathology

AB Tosun, F Pullara, MJ Becich, DL Taylor… - Advances in …, 2020 - journals.lww.com
Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA
approval of WSI systems as class II medical devices. In response to new market forces and …

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

A Shmatko, N Ghaffari Laleh, M Gerstung, JN Kather - Nature cancer, 2022 - nature.com
Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative
information from digital histopathology images. AI is expected to reduce workload for human …

The future of artificial intelligence in digital pathology–results of a survey across stakeholder groups

CN Heinz, A Echle, S Foersch, A Bychkov… - …, 2022 - Wiley Online Library
Aims Artificial intelligence (AI) provides a powerful tool to extract information from digitised
histopathology whole slide images. During the last 5 years, academic and commercial …

Survey of XAI in digital pathology

M Pocevičiūtė, G Eilertsen, C Lundström - … for digital pathology: state-of-the …, 2020 - Springer
Artificial intelligence (AI) has shown great promise for diagnostic imaging assessments.
However, the application of AI to support medical diagnostics in clinical routine comes with …

Overcoming the challenges to implementation of artificial intelligence in pathology

JS Reis-Filho, JN Kather - JNCI: Journal of the National Cancer …, 2023 - academic.oup.com
Pathologists worldwide are facing remarkable challenges with increasing workloads and
lack of time to provide consistently high-quality patient care. The application of artificial …

Artificial intelligence in pathology: an overview

B Moxley-Wyles, R Colling, C Verrill - Diagnostic Histopathology, 2020 - Elsevier
Artificial intelligence (AI) is at the forefront of modern technology and emerging uses within
the healthcare sector are now being realised. Pathology will be a key area where the impact …

[HTML][HTML] Challenges in the development, deployment, and regulation of artificial intelligence in anatomic pathology

JY Cheng, JT Abel, UGJ Balis, DS McClintock… - The American Journal of …, 2021 - Elsevier
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning
approaches have been made in recent years, with applications found in almost every …

Artificial intelligence for dermatopathology: Current trends and the road ahead

SB Chen, RA Novoa - Seminars in Diagnostic Pathology, 2022 - Elsevier
Artificial intelligence (AI), including deep learning methods that leverage neural network-
based algorithms, hold significant promise for dermatopathology and other areas of …