AIMC Topic: Biopsy
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Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.
Breast cancer research : BCR
Jun 3, 2024
BACKGROUND: Nottingham histological grade (NHG) is a well established prognostic factor in breast cancer histopathology but has a high inter-assessor variability with many tumours being classified as intermediate grade, NHG2. Here, we evaluate if Dee...
Deep Learning for Histopathological Assessment of Esophageal Adenocarcinoma Precursor Lesions.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 1, 2024
Histopathological assessment of esophageal biopsies is a key part in the management of patients with Barrett esophagus (BE) but prone to observer variability and reliable diagnostic methods are needed. Artificial intelligence (AI) is emerging as a po...
Radiomics-based machine learning approach for the prediction of grade and stage in upper urinary tract urothelial carcinoma: a step towards virtual biopsy.
International journal of surgery (London, England)
Jun 1, 2024
OBJECTIVES: Upper tract urothelial carcinoma (UTUC) is a rare, aggressive lesion, with early detection a key to its management. This study aimed to utilise computed tomographic urogram data to develop machine learning models for predicting tumour gra...
Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning.
The Kaohsiung journal of medical sciences
May 31, 2024
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tissue, subsequently able to progress to cirrhosis or possibly hepatocellular carcinoma. The development of artificial intelligence and deep learning have...
Machine learning-based diagnostic prediction of IgA nephropathy: model development and validation study.
Scientific reports
May 30, 2024
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive diagnosis depends on invasive kidney biopsy. This study aimed to develop non-invasive prediction models for IgA nephropathy using machine learning. We...
Investigation of the usefulness of a bile duct biopsy and bile cytology using a hyperspectral camera and machine learning.
Pathology international
May 24, 2024
To improve the efficiency of pathological diagnoses, the development of automatic pathological diagnostic systems using artificial intelligence (AI) is progressing; however, problems include the low interpretability of AI technology and the need for ...
Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study.
Breast cancer research : BCR
May 24, 2024
BACKGROUND: Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are currently recommended for biopsy. However, 70-80% of the biopsies are negative/benign. In this study, we developed a deep learning classification algorithm...
Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.
Hepatology (Baltimore, Md.)
May 20, 2024
BACKGROUND AND AIMS: Identifying patients with steatotic liver disease who are at a high risk of developing HCC remains challenging. We present a deep learning (DL) model to predict HCC development using hematoxylin and eosin-stained whole-slide imag...
Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.
Human pathology
Apr 18, 2024
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 impact of interobserver variability in its prognostic utility, ge...
Polyomavirus Infections
Fibrosis
Microscopy
Image Interpretation, Computer-Assisted
Adult
Prognosis
Observer Variation
Glomerular Filtration Rate
Humans
Male
Female
Kidney Diseases
Middle Aged
Artificial Intelligence
Predictive Value of Tests
Reproducibility of Results
Kidney
Biopsy
Algorithms
Aged
Kidney Transplantation
Noninvasive virtual biopsy using micro-registered optical coherence tomography (OCT) in human subjects.
Science advances
Apr 10, 2024
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, and disease diagnosis. Producing H&E sections, however, is invasive and time-consuming. While d...
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