10 research outputs found
Medical imaging professionals and related specialties : a questioning is essential!
peer reviewed: S’il y a bien un domaine où les annonces pleuvent
en matière de développement de l’intelligence artificielle
(IA), c’est le secteur de l’imagerie médicale au sens large
du terme (regroupant la radiologie, la médecine nucléaire
et la radiothérapie). Les applications, encore souvent utilisées dans des niches précises, ont tendance à devenir
beaucoup plus transversales. De multiples acteurs industriels, en partenariat avec les utilisateurs, s’évertuent Ã
construire de réelles plateformes qui offrent aux cliniciens
une multitude d’applications utilisables pour combler plusieurs types de demandes et besoins (détection, diagnostic et prédiction). Il est indéniable que la capacité de l’IA
dépasse largement nos capacités humaines en matière de
résolution de l’image, de rapidité et d’efficience de lecture
et d’analyse. Une attitude de négation ou de scepticisme
de la part des professionnels du secteur n’est plus de mise.
Ils doivent, sans attendre, collaborer avec les spécialistes
data et les ingénieurs au développement à large échelle
de l’IA en imagerie médicale et ce, au profit des patients
et des payeurs.: 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 still limited to specific
niches, there is a general trend to build real transversal
platforms. Multiple industrial players, in collaboration with
the clinicians in the field, are striving to build those platforms in order to offer plenty of use cases of AI for several
purposes and needs (screening/detection, diagnosis and
prediction). It is already undeniable that AI far exceeds
human capabilities in terms of resolution, speed of image
analysis and efficiency. Negative attitudes and skepticism
from concerned professionals should be banned. Collaboration with data scientists and engineers for the large
scale development and implementation should be pushed
forward for the benefit of both patients and payers
Le sang de cordon: du laboratoire au lit du malade.
Since 1974, umbilical cord blood (CB) has been shown to contain haematopoietic stem cells similar to stem cells from the bone marrow. In 1988, E. Gluckman and her colleagues performed - successfully - the first familial CB transplantation and cured a 5 years old child suffering from Fanconi's anemia. Rapidly, CB banks were organised throughout in the world and thanks to this novel source of haematopoietic stem cells, we can now find a donor for 75 % of the patients requiring a "bone marrow" transplantation. The major benefit of CB as a source of hematopoietic stem cells is its easy access. CB also allows a more significant degree of HLA incompatibility and thus offers an opportunity of transplantation to ethnic minorities for whom no HLA identical donors are available. However, several studies have shown that the number of cells harvested in a CB was closely correlated with the engraftment post transplantation and today, a minimum of 3.7 x 10(7) mononucleated cells/kg is recommended. This required amount of cells is not always reached due to the small volume often harvested from a CB. Therefore, to apply CB transplantations to adults, different approaches are currently being investigated :coinfusion of haploidentical cells, mesenchymal cells, a second CB, or the addition of CB expanded ex-vivo. Among these approaches, double CB transplantation seems nowadays the most promising alternative and ongoing studies should soon inform us whether the duration of aplasia will be improved.English AbstractJournal Articleinfo:eu-repo/semantics/publishe
Teachers' Conceptions of the Internet and the World Wide Web: A Representational Toolkit as a Model of Expertise
How about professionalism, professions and standards: the creation of acculturated professionals
Professional education is both an epistemological and ontological experience. The end game is to be a practitioner within a selected profession that satisfies personal expectations while contributing to society through practice. There is a triadic sensemaking relationship between the individual wanting to be a professional, the higher education institution (HEI) providing the preparatory curriculum and related experiences and the different stakeholders who employ the new professional and those expecting intellectual capital and productivity gains from these new professionals. Therefore, quality is a many-sided perception dependent on whose purpose frames its evaluation and the extent to which outcomes are determined to be gains. This chapter discusses the various perspectives of what quality is and the transferability of determinations between the different perceivers