[HTML][HTML] Computational pathology: a survey review and the way forward

MS Hosseini, BE Bejnordi, VQH Trinh, L Chan… - Journal of Pathology …, 2024 - Elsevier
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Collaborative Intelligence: A scoping review of current applications

E Schleiger, C Mason, C Naughtin… - Applied Artificial …, 2024 - Taylor & Francis
This review provides a novel examination of the emerging field of collaborative intelligence
and demonstrates the value that human-AI teams can deliver. Humans and artificial …

A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark

Y Gao, M Zhou, D Liu, Z Yan, S Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
Transformers have demonstrated remarkable performance in natural language processing
and computer vision. However, existing vision Transformers struggle to learn from limited …

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 …

Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology

D Aden, S Zaheer, S Khan - Revista Española de Patología, 2024 - Elsevier
The much-hyped artificial intelligence (AI) model called ChatGPT developed by Open AI can
have great benefits for physicians, especially pathologists, by saving time so that they can …