Application of artificial intelligence in pathology: trends and challenges

I Kim, K Kang, Y Song, TJ Kim - Diagnostics, 2022 - mdpi.com
Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

[HTML][HTML] Artificial intelligence and digital pathology: challenges and opportunities

HR Tizhoosh, L Pantanowitz - Journal of pathology informatics, 2018 - Elsevier
In light of the recent success of artificial intelligence (AI) in computer vision applications,
many researchers and physicians expect that AI would be able to assist in many tasks in …

[HTML][HTML] Closing the translation gap: AI applications in digital pathology

DF Steiner, PHC Chen, CH Mermel - … et Biophysica Acta (BBA)-Reviews on …, 2021 - Elsevier
Recent advances in artificial intelligence show tremendous promise to improve the
accuracy, reproducibility, and availability of medical diagnostics across a number of medical …

Current and future applications of artificial intelligence in pathology: a clinical perspective

EA Rakha, M Toss, S Shiino, P Gamble… - Journal of clinical …, 2021 - jcp.bmj.com
During the last decade, a dramatic rise in the development and application of artificial
intelligence (AI) tools for use in pathology services has occurred. This trend is often …

[HTML][HTML] Translational AI and deep learning in diagnostic pathology

A Serag, A Ion-Margineanu, H Qureshi… - Frontiers in …, 2019 - frontiersin.org
There has been an exponential growth in the application of AI in health and in pathology.
This is resulting in the innovation of deep learning technologies that are specifically aimed at …

[HTML][HTML] Annotating for artificial intelligence applications in digital pathology: a practical guide for pathologists and researchers

D Montezuma, SP Oliveira, PC Neto, D Oliveira… - Modern Pathology, 2023 - Elsevier
Training machine learning models for artificial intelligence (AI) applications in pathology
often requires extensive annotation by human experts, but there is little guidance on the …

Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis

AV Parwani - Diagnostic pathology, 2019 - Springer
Pathology is the study and diagnosis of disease through the examination of body tissue,
which is typically fixed on glass slides and viewed under a microscope. Most medical …

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 …

[HTML][HTML] Artificial intelligence in pathology: from prototype to product

A Homeyer, J Lotz, LO Schwen, N Weiss… - Journal of pathology …, 2021 - Elsevier
Modern image analysis techniques based on artificial intelligence (AI) have great potential
to improve the quality and efficiency of diagnostic procedures in pathology and to detect …

Revolutionizing digital pathology with the power of generative artificial intelligence and foundation models

A Waqas, MM Bui, EF Glassy, I El Naqa… - Laboratory …, 2023 - Elsevier
Digital pathology has transformed the traditional pathology practice of analyzing tissue
under a microscope into a computer vision workflow. Whole slide imaging allows …