In the course of the pandemic induced by the appearance of a new coronavirus (SARS-CoV-2; COVID-19) causing acute respiratory distress syndrome (ARDS), we had to rethink the diagnostic approach for patients suffering from respiratory symptoms. Indeed...
Generative artificial intelligence (GAI) and large language models (LLM) made their fulgurant irruption in our society at all levels, inclusive in health care. Possible applications and proofs of concept are everywhere. There is without any reasonabl...
The anatomo-pathological diagnosis of tumors is based on many criteria related mainly to image analysis. Currently, in most pathology laboratories, tissues or cells are placed on glass slides and directly analyzed with an optical microscope. Because ...
Oncological imaging is a subspecialty of medical imaging and focuses on the workup and the follow-up of cancer. Oncological imaging takes into account all the specificities of cancer diseases, which is a constantly evolving field, especially in the e...
The pharmaceutical industry faces, as many other public and private sectors, a significant deficit in trust (medication considered too expensive, not always readily available, even if it is deemed essential, lack of financial transparency). Moreover,...
Nowadays, we are facing an overwhelming amount of public announcements concerning the rise of artificial intelligence (AI) in the world of medical imaging (including radiology, nuclear medicine and radiotherapy). While most of the applications are st...
The key performance indicators in healthcare illustrate that the system we run nowadays is no longer sustainable. There is an urgent need for fundamental changes within the current ecosystem, if we want to maintain or improve the levels of quality, s...