Artificial intelligence for digital and computational pathology

AH Song, G Jaume, DFK Williamson, MY Lu… - Nature Reviews …, 2023 - nature.com
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

[HTML][HTML] A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations

Z Zhao, L Alzubaidi, J Zhang, Y Duan, Y Gu - Expert Systems with …, 2023 - Elsevier
Deep learning has emerged as a powerful tool in various domains, revolutionising machine
learning research. However, one persistent challenge is the scarcity of labelled training …

Towards generalist biomedical AI

T Tu, S Azizi, D Driess, M Schaekermann, M Amin… - NEJM AI, 2024 - ai.nejm.org
Background Medicine is inherently multimodal, requiring the simultaneous interpretation
and integration of insights between many data modalities spanning text, imaging, genomics …

Towards a general-purpose foundation model for computational pathology

RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume… - Nature Medicine, 2024 - nature.com
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks,
requiring the objective characterization of histopathological entities from whole-slide images …

A foundation model for clinical-grade computational pathology and rare cancers detection

E Vorontsov, A Bozkurt, A Casson, G Shaikovski… - Nature Medicine, 2024 - nature.com
The analysis of histopathology images with artificial intelligence aims to enable clinical
decision support systems and precision medicine. The success of such applications …

Generative models improve fairness of medical classifiers under distribution shifts

I Ktena, O Wiles, I Albuquerque, SA Rebuffi, R Tanno… - Nature Medicine, 2024 - nature.com
Abstract Domain generalization is a ubiquitous challenge for machine learning in
healthcare. Model performance in real-world conditions might be lower than expected …

Virchow: a million-slide digital pathology foundation model

E Vorontsov, A Bozkurt, A Casson, G Shaikovski… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Capabilities of gemini models in medicine

K Saab, T Tu, WH Weng, R Tanno, D Stutz… - arXiv preprint arXiv …, 2024 - arxiv.org
Excellence in a wide variety of medical applications poses considerable challenges for AI,
requiring advanced reasoning, access to up-to-date medical knowledge and understanding …

Foundation model for cancer imaging biomarkers

S Pai, D Bontempi, I Hadzic, V Prudente… - Nature machine …, 2024 - nature.com
Foundation models in deep learning are characterized by a single large-scale model trained
on vast amounts of data serving as the foundation for various downstream tasks. Foundation …

Morphological prototyping for unsupervised slide representation learning in computational pathology

AH Song, RJ Chen, T Ding… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Representation learning of pathology whole-slide images (WSIs) has been has
primarily relied on weak supervision with Multiple Instance Learning (MIL). However the …