Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis
In the ever-evolving era of technological advancements, generative artificial intelligence
(GAI) emerges as a transformative force, revolutionizing education. This review paper …
(GAI) emerges as a transformative force, revolutionizing education. This review paper …
A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
Diffinfinite: Large mask-image synthesis via parallel random patch diffusion in histopathology
We present DiffInfinite, a hierarchical diffusion model that generates arbitrarily large
histological images while preserving long-range correlation structural information. Our …
histological images while preserving long-range correlation structural information. Our …
An overview and a roadmap for artificial intelligence in hematology and oncology
W Rösler, M Altenbuchinger, B Baeßler… - Journal of cancer …, 2023 - Springer
Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …
broad implications for the future practice of hematology and oncology. However, for many …
Artificial intelligence in clinical oncology: from data to digital pathology and treatment
Recently, a wide spectrum of artificial intelligence (AI)–based applications in the broader
categories of digital pathology, biomarker development, and treatment have been explored …
categories of digital pathology, biomarker development, and treatment have been explored …
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …
images, but current methods are often specialized for specific domains and software …
Generating and evaluating synthetic data in digital pathology through diffusion models
Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks
like data augmentation and addressing data scarcity and privacy. However, its use …
like data augmentation and addressing data scarcity and privacy. However, its use …
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features
Artificial intelligence models have been increasingly used in the analysis of tumor histology
to perform tasks ranging from routine classification to identification of molecular features …
to perform tasks ranging from routine classification to identification of molecular features …
Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods
JH Lee, EK Ku, YS Chung, YJ Kim, KG Kim - Surgical Endoscopy, 2024 - Springer
Background Postoperative hypoparathyroidism is a major complication of thyroidectomy,
occurring when the parathyroid glands are inadvertently damaged during surgery. Although …
occurring when the parathyroid glands are inadvertently damaged during surgery. Although …
Develo** a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning
D Choudhury, JM Dolezal, E Dyer, S Kochanny… - …, 2024 - thelancet.com
Background Deployment and access to state-of-the-art precision medicine technologies
remains a fundamental challenge in providing equitable global cancer care in low-resource …
remains a fundamental challenge in providing equitable global cancer care in low-resource …