CoLo-ID
Colonic Polyp Characterization
Gratuit · Conçue pour iPad. Non validée pour macOS.
Over the past several years, it has been clearly demonstrated that patient management in colonoscopy can be optimized — both economically and environmentally — by refraining from systematically submitting all resected colonic polyps for histopathological examination, provided that these polyps meet specific visual and dimensional criteria.
Despite this proven benefit and the publication of international recommendations by the American Society for Gastrointestinal Endoscopy (ASGE, 2014) and the European Society of Gastrointestinal Endoscopy (ESGE, 2022), the practical implementation of selective histopathological analysis (Resect-and-Discard and Diagnose-and-Leave strategies) remains limited.
This gap between recommendations and clinical practice is primarily due to the challenges associated with the training, certification, and objective evaluation of endoscopists’ ability to characterize polyps accurately. Furthermore, even with the integration of artificial intelligence (AI), current systems still fall short of the reliability thresholds required by professional societies.
Colo-ID has been developed to address these unmet needs. The application provides a comprehensive training and assessment platform designed for endoscopists. It includes a learning module and an interactive training environment that allow users to review a large number of annotated endoscopic images and to evaluate their diagnostic accuracy, characterization skills, and therapeutic decision-making performance.
Additionally, Colo-ID quantifies and displays the potential economic savings and carbon footprint reduction associated with the application of the Resect-and-Discard and Diagnose-and-Leave approaches.
Finally, the platform also supports the creation and continuous enrichment of a structured database linking endoscopic image features with corresponding histopathological findings.
This resource will contribute to the development and training of AI-based decision-support algorithms, with the long-term goal of improving the accuracy, safety, and sustainability of colorectal cancer prevention strategies.
Notes et avis
Various corrections and improvements.
Le développeur Anamorphik Studio a indiqué que les pratiques de l’app en matière de confidentialité peuvent inclure le traitement des données tel que décrit ci‑dessous. Pour en savoir plus, consultez la politique de confidentialité du développeur .
Données non collectées
Le développeur ne collecte aucune donnée avec cette app.
Accessibilité
Le développeur n’a pas encore indiqué quelles fonctionnalités d’accessibilité sont prises en charge par cette app. En savoir plus
Informations
- Taille
- 24,7 Mo
- Catégorie
- Médecine
- Compatibilité
Nécessite iOS 14.0 ou version ultérieure.
- iPhone
Nécessite iOS 14.0 ou version ultérieure. - iPad
Nécessite iPadOS 14.0 ou version ultérieure. - iPod touch
Nécessite iOS 14.0 ou version ultérieure. - Mac
Nécessite macOS 11.0 ou une version ultérieure et un Mac doté d’une puce Apple M1 ou une version ultérieure. - Apple Vision
Nécessite visionOS 1.0 ou version ultérieure.
- iPhone
- Langues
- Anglais
- Âge
4+
- 4+
- Fournisseur
Anamorphik Studio
- Le fournisseur Anamorphik Studio s’est identifié comme commerçant de cette app et a confirmé que ce produit ou service est conforme à la législation de l’Union européenne.
- Adresse
165 Avenue Andre Malraux
54600 Villers-Les-Nancy
France - Téléphone
+33 383364059 - Adresse e‑mail
info@anamorphik.com
- Copyright
- © CoLo-ID