This paper describes the development of PRACTICE, a distributed healthcare technological platform that supports various research initiatives by the University of Milan and the Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico. PRACTICE includes three main components: a mobile app that patients can use to self-acquire ultrasound images at home, a computer-aided diagnosis web application that supports the practitioners through a set of machine learning models, and a set of web tools for image annotation, a prerequisite for training the machine learning models. Although PRACTICE was designed in the specific context of supporting the detection of joint recess blood effusions in hemophilic patients, this paper describes the main design and implementation challenges that apply to other applications of a research-oriented health platform.

Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform / D. Ahmetovic, A. Angileri, S. Arcudi, C. Bettini, G. Civitarese, M. Colussi, A. Giachi, R. Gualtierotti, S. Mascetti, M. Manzoni, F. Peyvandi, A. Solyman, A. Truma - In: 2024 IEEE International Conference on Smart Computing (SMARTCOMP)[s.l] : IEEE, 2024 Jun 29. - ISBN 979-8-3503-4994-8. - pp. 380-385 (( Intervento presentato al 10. convegno International Conference on Smart Computing tenutosi a Osaka nel 2024 [10.1109/smartcomp61445.2024.00085].

Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform

D. Ahmetovic
Primo
;
A. Angileri
Secondo
;
S. Arcudi;C. Bettini;G. Civitarese;M. Colussi;A. Giachi;R. Gualtierotti;S. Mascetti;F. Peyvandi;A. Solyman
Penultimo
;
A. Truma
Ultimo
2024

Abstract

This paper describes the development of PRACTICE, a distributed healthcare technological platform that supports various research initiatives by the University of Milan and the Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico. PRACTICE includes three main components: a mobile app that patients can use to self-acquire ultrasound images at home, a computer-aided diagnosis web application that supports the practitioners through a set of machine learning models, and a set of web tools for image annotation, a prerequisite for training the machine learning models. Although PRACTICE was designed in the specific context of supporting the detection of joint recess blood effusions in hemophilic patients, this paper describes the main design and implementation challenges that apply to other applications of a research-oriented health platform.
Hemophilia; point-of-care; deep learning
Settore INF/01 - Informatica
29-giu-2024
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
SmartHealth24-1.pdf

accesso aperto

Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 2.55 MB
Formato Adobe PDF
2.55 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1084788
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact