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Knowledge In Medical Imaging (KIMI)

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HAL Id: hal-02262429

https://hal.univ-lorraine.fr/hal-02262429

Submitted on 20 Aug 2019

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Knowledge In Medical Imaging (KIMI)

Cédric Dumas, Fabien Picarougne, Hoel Le Capitaine, Emmanuel Codron

To cite this version:

Cédric Dumas, Fabien Picarougne, Hoel Le Capitaine, Emmanuel Codron. Knowledge In Medical Imaging (KIMI). Journée IHM & Santé, May 2019, Metz, France. �hal-02262429�

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Evolution of Endoscopy

► Narrow Band Imaging (NBI) – New endoscopic technologies have dramatically improved the technical performance of surgical

procedures.

► Endoscopes spread across hospital departments– Where open surgery and traditional literature provide teaching from an external view, endoscopes provide a completely different internal perspective of human anatomy.

► Diagnostics shift– high quality images of endoscopes (resolution, luminance, filters) challenges doctors’ anatomical and diagnostic knowledge.

► New technics involve new training– short focal distance camera with narrow band imaging (NBI), ultrasound or auto fluorescence techniques

New Medical Technology Challenges

Human factors approach for Medical Skills training –

the NBI case

Case Study: NBI training using online interactive

Medical Images Quiz (MedImq)

►The tool allows trainees to directly mark up medical images to show where they would biopsy. It features a “biopsy size” visual marking tool for the trainees.

►The sensitivity and the specificity of the trainees’ answers was compared to the experts, who have answered the test before the training sessions.

►38 participants over two years.

►Pre-test, Post-test and Follow-up test during NBI courses.

►overall class average normalized gain of 32% shows Medimq can be used to improve trainees’ competency in analyzing NBI Images during a training course.

►Need to follow and mentor the trainees after the training course.

sharing Knowledge In Medical Imaging (KIMI)

►Knowledge sharing

►Building deep learning approaches to extract information from experts discussions

►Physicians Community based approach (Forum, Crowed sourcing, Q&A)

►Follow-up to an existing training

►Promote experts Parties prenantes Auteurs Partenaires

Contact : cedric.dumas@imt-atlantique.fr

Ju in 2 0 1 8 J o u rn é e IM T S a n té Cédric DUMAS

Training / Mentoring

Q & A

Human Knowledge sharing

Crowdsourcing

Images segmentation

Taxonomy

Processing text together with images

Building new Knowledge (or relations)

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