AI Medical Compendium Journal:
Annales de pathologie

Showing 1 to 8 of 8 articles

[A national survey from the French Society of Pathology on research and application of artificial intelligence in pathology].

Annales de pathologie
The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its priority. The deployment of digital pathology and artificial intelligence fits perfectly into this framework. Therefore we evaluated the pathologist's inte...

[The environmental impact of digital technology and artificial intelligence, in the era of digital pathology].

Annales de pathologie
While digitization and artificial intelligence represent the future of our specialty, future is also constrained by global warming and overstepping of planetary limits, threatening human health and the functioning of the healthcare system. The report...

[What contribution can make artificial intelligence to urinary cytology?].

Annales de pathologie
Urinary cytology using the Paris system is still the method of choice for screening high-grade urothelial carcinomas. However, the use of the objective criteria described in this terminology shows a lack of inter- and intra-observer reproducibility. ...

[Development of the use of artificial intelligence in the management of chronic inflammatory bowel disease].

Annales de pathologie
Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics, blood and fecal samples tests, endoscopy and histology are the main tools guiding IBD treatment, but they generate a large amount of data, difficult ...

[The first data challenge of the french society of pathology: An international competition in 2020, a research tool in A.I. for the future?].

Annales de pathologie
The french society of pathology (SFP) organized in 2020 its first data challenge with the help of Health Data Hub (HDH). The organisation of this event first consisted in recruiting almost 5000 slides of uterus cervical biopsies obtained in 20 pathol...

[Neural network: A future in pathology?].

Annales de pathologie
Artificial Intelligence, in particular deep neural networks are the most used machine learning technics in the biomedical field. Artificial neural networks are inspired by the biological neurons; they are interconnected and follow mathematical models...

[The age of artificial intelligence in lung cancer pathology: Between hope, gloom and perspectives].

Annales de pathologie
Histopathology is the fundamental tool of pathology used for more than a century to establish the final diagnosis of lung cancer. In addition, the phenotypic data contained in the histological images reflects the overall effect of molecular alteratio...