AI's Threat to the Medical Profession
The Authors Guild and 17 authors recently filed a suit against OpenAI for copyright
infringement of their works of fiction on behalf of writers whose works were used to train …
infringement of their works of fiction on behalf of writers whose works were used to train …
[HTML][HTML] Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
The Banff Digital Pathology Working Group (DPWG) was established with the goal to
establish a digital pathology repository; develop, validate, and share models for image …
establish a digital pathology repository; develop, validate, and share models for image …
Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases
N Suzuki, K Kojima, S Malvica, K Yamasaki… - Communications …, 2025 - nature.com
Background Chronic kidney disease (CKD) causes progressive and irreversible damage to
the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD …
the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD …
Unsupervised latent stain adaptation for computational pathology
D Reisenbüchler, L Luttner, NS Schaadt… - … Conference on Medical …, 2024 - Springer
In computational pathology, deep learning (DL) models for tasks such as segmentation or
tissue classification are known to suffer from domain shifts due to different staining …
tissue classification are known to suffer from domain shifts due to different staining …
PDGF-D Is Dispensable for the Development and Progression of Murine Alport Syndrome
EAM Firat, EM Buhl, N Bouteldja, B Smeets… - The American Journal of …, 2024 - Elsevier
Alport syndrome is an inherited kidney disease, which can lead to glomerulosclerosis and
fibrosis, as well as end-stage kidney disease in children and adults. Platelet-derived growth …
fibrosis, as well as end-stage kidney disease in children and adults. Platelet-derived growth …
[HTML][HTML] A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors
The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically
affect treatment decision and patient prognosis. Thus, it is crucial to make a preliminary …
affect treatment decision and patient prognosis. Thus, it is crucial to make a preliminary …
Reproducibility and prognostic ability of chronicity parameters in kidney biopsy–Comprehensive evaluation comparing microscopy and artificial intelligence in digital …
Introduction Semi-quantitative scoring of various parameters in renal biopsy is accepted as
an important tool to assess disease activity and prognostication. There are concerns on the …
an important tool to assess disease activity and prognostication. There are concerns on the …
Identifying and matching 12‐level multistained glomeruli via deep learning for diagnosis of glomerular diseases
The assessment of glomerular lesions is a fundamental step toward the diagnosis of
glomerular diseases. This requires diagnosis and fusion of information from all the glomeruli …
glomerular diseases. This requires diagnosis and fusion of information from all the glomeruli …
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology
In recent years, there has been remarkable progress in the field of digital pathology, driven
by the ability to model complex tissue patterns using advanced deep-learning algorithms …
by the ability to model complex tissue patterns using advanced deep-learning algorithms …
Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning
Advances in deep learning (DL) have shown great promise in revolutionizing healthcare,
notwithstanding their success hinging on the availability of centralized large and diverse …
notwithstanding their success hinging on the availability of centralized large and diverse …