Latest AI and machine learning research in pathology for healthcare professionals.
Computational pathology refers to applying deep learning techniques and algorithms to analyse and in...
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtain...
Neoadjuvant therapies are used for locally advanced non-small cell lung carcinomas, whereby patholog...
OBJECTIVE: The aim of this study is to develop AI-assisted software incorporating a deep learning (D...
BACKGROUND: Lymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed...
To describe the technical evolution and perioperative outcomes of vesicourethral anastomosis (VUA) ...
Automatic and accurate segmentation of pulmonary nodules in CT images can help physicians perform mo...
Digital twins derived from 3D scanning data were developed to measure soft tissue deformation in hea...
INTRODUCTION: The clinical characterization of the functional status of active wounds in terms of th...
Fluorescence imaging flow cytometry (IFC) has been demonstrated as a crucial biomedical technique fo...
In recent years, the application of advanced analytics, especially artificial intelligence (AI), to ...
Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of signif...
Colorectal cancer is a global public health problem with one of the highest death rates. It is the s...
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic...
The inspection of stained tissue slides by pathologists is essential for the early detection, diagno...
The histopathologic distinction of lung adenocarcinoma (LADC) subtypes is subject to high interobser...
Machine learning applied to digital pathology has been increasingly used to assess kidney function a...
Clinical efforts on precision medicine are driving the need for accurate diagnostic, new prognostic ...
Medical image processing has become increasingly important in recent years, particularly in the fiel...
The development of a reference atlas of the healthy human body requires automated image segmentation...
Deep learning (DL) is a subdomain of artificial intelligence algorithms capable of automatically eva...