MITEL – Medical Informatics, Telemedicine & eHealth Lab

Digital pathology (DP) and artificial intelligence (AI) have revolutionized the field of pathology. Although growing interest in DP & AI has been observed recently, there is still a reluctance to adopt this technology in routine clinical practice. Further, there is a need to harmonize this technology globally and bridge the knowledge gaps to get acquainted with the nuances of DP & AI. To this aim, we are pleased to announce the first-ever edition of the EurAsia Academy on Digital Pathology, an online event that will take place on October 10, 2023.

Organized by the European Society … Continue Reading

Una lista di risorse utili per il minicorso su terminologie e classificazioni biomediche:

• ICD-9-CM, ICD-10, ICD-11
• ICF e ICHI
• DRG
• SNOMED-CT
• LOINC, LOINC Italia
• RADLEX

From 28th August to 1st September, 2023 the University of Udine will host the 1st MSCA BosomShield Summer School, devoted to Image Analysis for Biomedical Imaging and specifically for Radiology and Pathology.

Final programme here: https://mitel.dimi.uniud.it/bosomshield/

Programme

Monday 28th August, 2023

8:45
Introduction
V.Della Mea, C.Di Loreto, D.Puig

9:00
Biopsies and WSI preparation
C. Lopez, Laia Adalid

11:00
Prognostic factors in breast cancer
Enrico Pegolo

12:45
Lunch break

14:00
Introduction to AI in Digital Pathology: Background
Izidor Mlakar

16:00
Introduction to WSI Image Analysis
Anna Korzynska… Continue Reading

Recent results of the Harmonization WG @WHOICD11 are finally out:

Della Mea V, Almborg A-H, Martinuzzi M, Tu SW, Martinuzzi A (2023) Harmonization of ICF Body Structures and ICD-11 Anatomic Detail: One foundation for multiple classifications. PLoS ONE 18(7): e0280106. https://doi.org/10.1371/journal.pone.0280106

On 11-12 May, 2023 the MSCA BosomShield Consortium is doing its first in presence meeting in Tarragona, Spain, at the University Rovira i Virgili. 10 Doctoral candidates, their supervisors, and other project partner will share their projects, with the ultimate goal of recognizing breast cancer relapse from radiological and pathological images and data by means of artificial intelligence.

We decided to make public a dataset we used for a work some year ago (accelerometer data for daily activities): UNIUD Daily Activities Accelerometer Dataset (UNIUD-DA-AD).

Available at:

-Github:  https://github.com/MITEL-UNIUD/UNIUD-DA-AD

-Kaggle:  https://www.kaggle.com/vdellamea/uniud-daily-activities-accelerometer-dataset/ 

ESDIP Town Square Meeting
April 16, 2021 at 6 pm (CET)
“Can I trust AI … Continue Reading

Il Laboratorio MITEL, in collaborazione con Cimtech srl e MIPOT spa, ha appena pubblicato un articolo sulla rivista JMIR Medical Informatics (IF: 3.188) che riassume gli esiti del progetto PollicIoT riguardo l’applicabilità di LoRaWAN all’ambito sociosanitario: 

Della Mea V, Popescu MH, Gonano D, Petaros T, Emili I, Fattori MG. A Communication Infrastructure for the Health and Social Care Internet of Things: Proof-of-Concept Study. JMIR Med Inform 2020;8(2):e14583 DOI: 10.2196/14583

In sintesi: è un ottimo strumento per dispiegare rapidamente ed economicamente dispositivi IoT sanitari a casa dell’anziano o della … Continue Reading

Elaborazione ed Analisi di Bioimmagini con ImageJ: corso base e avanzato

25-26-27 novembre 2019

Sede: Università dell’Insubria, Via Alberto da Giussano 12, Busto Arsizio, Aula informatica Orario delle lezioni: Lunedì 11-18; martedì e mercoledì: 9.30-16.30.

Docente: Prof. Vincenzo Della Mea – Università di Udine

Info qui.

Image Analysis Training School 2019

Nottingham, 26-27 September 2019

https://www.nmpn.info/imageanalysis2019

The school returns for it’s third  year in 2019 and aims to provide a comprehensive overview of the current use of image analysis in pathology diagnosis and research including practical examples

• Address how potential problems in image analysis can be resolved
• How digital pathology can be integrated in the work-stream

The course is suitable for Trainee and Consultant Pathologists with little or no experience of image analysis and for non-clinical scientists/computer experts (who may have some experience with digital platforms) wishing to learn more about the techniques and application of image analysis. Teaching will be … Continue Reading