The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review
F Grignaffini, F Barbuto, M Troiano, L Piazzo… - Diagnostics, 2024 - mdpi.com
Digital pathology (DP) has begun to play a key role in the evaluation of liver specimens.
Recent studies have shown that a workflow that combines DP and artificial intelligence (AI) …
Recent studies have shown that a workflow that combines DP and artificial intelligence (AI) …
Calculation of Kidney Volumes with Magnetic Resonance in Patients with Autosomal Dominant Polycystic Kidney Disease: Comparison between Methods
S Di Pietro, AG Torcitto, C Marcantoni, G Giordano… - Diagnostics, 2023 - mdpi.com
Autosomal dominant polycystic renal disease (ADPKD) is the most frequent kidney
inheritable disease, characterized by the presence of numerous bilateral renal cysts …
inheritable disease, characterized by the presence of numerous bilateral renal cysts …
[HTML][HTML] An artificial intelligence generated automated algorithm to measure total kidney volume in ADPKD
J Taylor, R Thomas, P Metherall, M van Gastel… - Kidney International …, 2024 - Elsevier
Introduction Accurate tools to inform individual prognosis in patients with autosomal
dominant polycystic kidney disease (ADPKD) are lacking. Here, we report an artificial …
dominant polycystic kidney disease (ADPKD) are lacking. Here, we report an artificial …
[PDF][PDF] Validation of the Mayo Imaging Classification System for Predicting Kidney Outcomes in ADPKD
T Bais, P Geertsema, MGE Knol… - Clinical Journal of the …, 2024 - journals.lww.com
Background: The Mayo Imaging Classification (MIC) was developed to predict the rate of
disease progression in patients with autosomal dominant polycystic kidney disease …
disease progression in patients with autosomal dominant polycystic kidney disease …
Deep learning-based segmentation of kidneys and renal cysts on T2-weighted MRI from patients with autosomal dominant polycystic kidney disease
R Sore, P Cathier, AS Vlachomitrou, J Bailleux… - European Radiology …, 2024 - Springer
Background Our aim was to train and test a deep learning-based algorithm for automatically
segmenting kidneys and renal cysts in patients with autosomal dominant polycystic kidney …
segmenting kidneys and renal cysts in patients with autosomal dominant polycystic kidney …
[PDF][PDF] Tandem: a Confidence-based Approach for Precise Medical Image Segmentation
S Monaco, L Petrosino, C Xinaris… - Artificial Intelligence and …, 2024 - researchgate.net
The advent of Healthcare 4.0 has heralded a disruptive change in medical diagnostics, with
Artificial Intelligence (AI) playing a central role in improving diagnostic accuracy and …
Artificial Intelligence (AI) playing a central role in improving diagnostic accuracy and …
[PDF][PDF] This is a repository copy of An artificial intelligence generated automated algorithm to measure total kidney volume in ADPKD.
J Taylor, R Thomas, P Metherall - 1923 - core.ac.uk
Methods An ensemble U-net algorithm was created using the nnUNet approach. The
training and internal cross-validation cohort consisted of all 1.5 T MRI data acquired using 5 …
training and internal cross-validation cohort consisted of all 1.5 T MRI data acquired using 5 …