AIMC Topic: Biopsy
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Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images.
JAMA network open
May 3, 2021
IMPORTANCE: Interstitial fibrosis and tubular atrophy (IFTA) is a strong indicator of decline in kidney function and is measured using histopathological assessment of kidney biopsy core. At present, a noninvasive test to assess IFTA is not available.
Improving DCIS diagnosis and predictive outcome by applying artificial intelligence.
Biochimica et biophysica acta. Reviews on cancer
Apr 29, 2021
Breast ductal carcinoma in situ (DCIS) is a preinvasive lesion that is considered to be a precursor to invasive breast cancer. Nevertheless, not all DCIS will progress to invasion. Current histopathological classification systems are unable to predic...
Independent real-world application of a clinical-grade automated prostate cancer detection system.
The Journal of pathology
Apr 27, 2021
Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of pathologists...
Time-aware deep neural networks for needle tip localization in 2D ultrasound.
International journal of computer assisted radiology and surgery
Apr 11, 2021
PURPOSE: Accurate placement of the needle is critical in interventions like biopsies and regional anesthesia, during which incorrect needle insertion can lead to procedure failure and complications. Therefore, ultrasound guidance is widely used to im...
Deep learning-based molecular morphometrics for kidney biopsies.
JCI insight
Apr 8, 2021
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific...
Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides.
Scientific reports
Mar 29, 2021
Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classification of RCC is essential for diagnosis, prognosis, and management of patients. Reorganization and classification of complex histologic patterns of RCC...
Frameless stereotactic brain biopsy: A prospective study on robot-assisted brain biopsies performed on 32 patients by using the RONNA G4 system.
The international journal of medical robotics + computer assisted surgery : MRCAS
Mar 4, 2021
BACKGROUND: We present a novel robotic neuronavigation system (RONNA G4), used for precise preoperative planning and frameless neuronavigation, developed by a research group from the University of Zagreb and neurosurgeons from the University Hospital...
Artificial intelligence for breast ultrasound: An adjunct tool to reduce excessive lesion biopsy.
European journal of radiology
Mar 4, 2021
PURPOSE: To determine whether adding an artificial intelligence (AI) system to breast ultrasound (US) can reduce unnecessary biopsies.
Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy.
Scientific reports
Mar 3, 2021
Probe-based confocal laser endomicroscopy (pCLE) allows for real-time diagnosis of dysplasia and cancer in Barrett's esophagus (BE) but is limited by low sensitivity. Even the gold standard of histopathology is hindered by poor agreement between path...
High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis.
Scientific reports
Mar 3, 2021
Chronic HBV infection, the main cause of liver cirrhosis and hepatocellular carcinoma, has become a global health concern. Machine learning algorithms are particularly adept at analyzing medical phenomenon by capturing complex and nonlinear relations...
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