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Enregistrement W2106683649 · doi:10.1186/1746-1596-8-s1-s44

Webconference mixed with virtual slides as a pedagogical tool to improve pathology practice in the French Midi-Pyrenees area

2013· article· en· W2106683649 sur OpenAlex

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Notice bibliographique

RevueDiagnostic Pathology · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueAI in cancer detection
Établissements canadiensnon disponible
Organismes subventionnairesUniversité de Toulouse
Mots-clésTelepathologyDigital pathologyInformaticsMedicinePathologyPopulationMedical educationTelemedicineHealth carePolitical science

Résumé

récupéré en direct d'OpenAlex

The pathology is a discipline located between basic science and clinical practice. Tissue and / or cellular injury could be seen as a triptych with in upstream pathophysiological mechanism and in downstream the resulting symptoms. In recent years, pathology, an essential step of clinical diagnosis, is being more complex integrating complementary technics (e.g. molecular biology), creating new classifications or new recommendations. So pathologists’specialization in one field is becoming a necessity. Unfortunately, since 1999, the French pathologists growth rate is negative and demographic previsions estimates that in 2050 pathologists’ population should decrease by 50%. This crisis in vocations obliged pathologists to provide continuing education to their peers, share experiences but also to reform the teaching of the discipline during medical studies to make it more accessible and attractive. The development of digital imaging in this both areas has been a greatly helpful. In France, a group of pathologists established in 1977 under the name ADICAP (“association for the development of informatics in pathology”) helped the creation of adequate informatics tools [ 1 ]. Worldwide, the pathologists were among the first to use tools of telemedicine, especially in countries with difficult geographical conditions such as Norway or Canada. However, for 25 years, the difficulties of digital transmission and the static and selective state (selection bias in the sent fields) of numeric photography had left this technology underutilized [ 2 ]. In the 2000s, development of the virtual slides technology (virtual slides scanner) and of telepathology, allowed diversification and wider use of digital imaging in pathology. It had been now widely used in Canada to exchange views particularly in cases of diagnostic emergency as extemporaneous examinations [ 1 ]. In 2010, physicians in three Northern Ontario communities had been virtually linked at all times to pathology specialists allowing frozen section examination on line [ 3 ]. It had been also used for teaching and universities, particularly in the U.S. and Switzerland, where virtual imaging have replaced conventional microscope. In France these technologies are progressively taking place both in the field of education and in the exchange of expertise. In Toulouse-Rangueil hospital, the pathology department has chosen to focus on education as the training provided to senior pathologists and to medical students. Slides were scanned on « NDP Nanozoomer » Hamamatsu, in Rangueil University Hospital, in Toulouse. The virtual slides were loaded in to a computer server, in Toulouse-Paul Sabatier University. Hamamatsu provided the program patch with the NDP viewer, as a pilot program. The Paul Sabatier University (TICE department, Direction of Technology and Information Systems) provided to the university community a web conferencing platform Adobe Connect Pro. This platform, web-based, used Flash technology present on 98% of computers. It offered not only a videoconferencing service but also a collaborative workspace (document sharing, screen or application sharing, instant messaging, whiteboard...) organized in modules. This type of system offered flexibility and brought a wealth of services in a nomadic environment. All medical data are anonymous. Virtual meetings between pathologists: To access the platform, only an internet-connected computer, a webcam and a microphone was needed (Figure 1 ). The access was secured by a code. Virtual class visible by the senior pathologist in training. We integrated the virtual slide in presencial sessions in small numbers (30 students per group, promoting divided into 5 groups, 10 sessions). Each student had a microscope and glass slides with a representative lesion. Each slide was previously scanned. The virtual slide was projected and commented on by a teacher. The student had to the area of interest selected by the teacher at low magnification and then at higher magnification leading to the diagnosis. Questionnaire of satisfaction was distributed to students and teachers at the end of the first teaching session and at the end of the sessions cycle (10th session). To enable students to visualize the virtual slide out of teaching session, a web-site is in process. It would allow the student to access to digital slides but also to recapitulative picture, with a brief explanation and a summary of what to remember. Normal tissue slides would also be available. Student would access the site through a custom code. It is not yet planned to grant access beyond the teaching year or to allow students external of our University to access the site. Thinking is still in progress on these points.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,847
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,288
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle