Generative AI in medicine and healthcare: promises, opportunities and challenges

P Zhang, MN Kamel Boulos - Future Internet, 2023 - mdpi.com
Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI's
ChatGPT, that can be prompted to generate various types of content. In this narrative review …

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 …

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 …

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 …

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

H Evans, D Snead - Histopathology, 2024 - Wiley Online Library
Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …

RudolfV: a foundation model by pathologists for pathologists

J Dippel, B Feulner, T Winterhoff, T Milbich… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial intelligence has started to transform histopathology impacting clinical diagnostics
and biomedical research. However, while many computational pathology approaches have …

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

G Lorenzo, SR Ahmed, DA Hormuth II… - Annual Review of …, 2023 - annualreviews.org
Despite the remarkable advances in cancer diagnosis, treatment, and management over the
past decade, malignant tumors remain a major public health problem. Further progress in …

Applications of artificial intelligence in prostate cancer care: a path to enhanced efficiency and outcomes

IB Riaz, S Harmon, Z Chen, SAA Naqvi… - American Society of …, 2024 - ascopubs.org
The landscape of prostate cancer care has rapidly evolved. We have transitioned from the
use of conventional imaging, radical surgeries, and single-agent androgen deprivation …

Application of digital pathology‐based advanced analytics of tumour microenvironment organisation to predict prognosis and therapeutic response

X Fu, E Sahai, A Wilkins - The Journal of Pathology, 2023 - Wiley Online Library
In recent years, the application of advanced analytics, especially artificial intelligence (AI), to
digital H&E images, and other histological image types, has begun to radically change how …

Deep learning methodologies applied to digital pathology in prostate cancer: a systematic review

N Rabilloud, P Allaume, O Acosta, R De Crevoisier… - Diagnostics, 2023 - mdpi.com
Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in
Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on …