AI Medical Compendium Journal:
Pathologie (Heidelberg, Germany)

Showing 1 to 10 of 11 articles

Reconstructing 3D histological structures using machine learning (artificial intelligence) algorithms.

Pathologie (Heidelberg, Germany)
BACKGROUND: Histomorphometry is currently the gold standard for bone microarchitectural examinations. This relies on two-dimensional (2D) sections to deduce the spatial properties of structures. Micromorphometric parameters are calculated from these ...

[Artificial intelligence in kidney transplant pathology].

Pathologie (Heidelberg, Germany)
BACKGROUND: Artificial intelligence (AI) systems have showed promising results in digital pathology, including digital nephropathology and specifically also kidney transplant pathology.

[Artificial intelligence for pathology-how, where, and why?].

Pathologie (Heidelberg, Germany)
Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing a...

[The model transferability of AI in digital pathology : Potential and reality].

Pathologie (Heidelberg, Germany)
OBJECTIVE: Artificial intelligence (AI) holds the potential to make significant advancements in pathology. However, its actual implementation and certification for practical use are currently limited, often due to challenges related to model transfer...

[Explainable artificial intelligence in pathology].

Pathologie (Heidelberg, Germany)
With the advancements in precision medicine, the demands on pathological diagnostics have increased, requiring standardized, quantitative, and integrated assessments of histomorphological and molecular pathological data. Great hopes are placed in art...

[Advances in computational quantitative nephropathology].

Pathologie (Heidelberg, Germany)
BACKGROUND: Semiquantitative histological scoring systems are frequently used in nephropathology. In computational nephropathology, the focus is on generating quantitative data from histology (so-called pathomics). Several recent studies have collect...

[Multistain deep learning as a prognostic and predictive biomarker in colorectal cancer].

Pathologie (Heidelberg, Germany)
The tumor immune microenvironment (TIME) plays a crucial prognostic and predictive role in solid malignancies such as colorectal cancer (CRC). Nevertheless, scoring systems based on TIME such as the Immunoscore (IS) are rarely used in clinical practi...

Digital image analysis and artificial intelligence in pathology diagnostics-the Swiss view.

Pathologie (Heidelberg, Germany)
Digital pathology (DP) is increasingly entering routine clinical pathology diagnostics. As digitization of the routine caseload advances, implementation of digital image analysis algorithms and artificial intelligence tools becomes not only attainabl...

National digital pathology projects in Switzerland: A 2023 update.

Pathologie (Heidelberg, Germany)
The Swiss Digital Pathology Consortium (SDiPath) was founded in 2018 as a working group of the Swiss Society for Pathology with the aim of networking, training, and promoting digital pathology (DP) at a national level. Since then, two national survey...

[Automation and the use of robots in the pathology laboratory : A journey through time and a consideration of efficiency].

Pathologie (Heidelberg, Germany)
In the past 20 years, numerous technical innovations were introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from the labe...