Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Mauro Gatti
Observed names:
Gatti, Mauro,
M Gatti,
M.Gatti
Institutions:
IBM (United States),
IBM (Italy)
Observed institutions:
University of Parma,
IBM (United States),
University of Padua,
Azienda USL di Bologna,
IBM (Italy),
Azienda Ospedale - Università Padova
show all 6
ORCID:
0000-0002-4312-8835
Observed ORCID:
0000-0002-4312-8835
OpenAlex ID:
A5036283012
A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study
2021
·
Raffaello Furlan
, Mauro Gatti
, et al.
·
JMIR Medical Informatics
·
66
PDF
A large language model-based clinical decision support system for syncope recognition in the emergency department: A framework for clinical workflow integration
2024
·
Alessandro Giaj Levra
, Mauro Gatti
, et al.
·
European Journal of Internal Medicine
·
34
PDF
Artificial Intelligence Algorithms and Natural Language Processing for the Recognition of Syncope Patients on Emergency Department Medical Records
2019
·
Franca Dipaola
, Mauro Gatti
, et al.
·
Journal of Clinical Medicine
·
32
PDF
Arrhythmogenic Right Ventricular Dysplasia: cardiomyopathy current opinions on diagnostic and therapeutic aspects
2001
·
Franco Naccarella
, Gerald Naccarelli
, et al.
·
Current Opinion in Cardiology
·
28
Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing–Based Virtual Patient Simulator: Case Study
2021
·
Raffaello Furlan
, Mauro Gatti
, et al.
·
JMIR Medical Education
·
24
PDF
Do ACE inhibitors or angiotensin II antagonists reduce total mortality and arrhythmic mortality? A critical review of controlled clinical trials
2002
·
Franco Naccarella
, Gerald V Naccarelli
, et al.
·
Current Opinion in Cardiology
·
20
Will Artificial Intelligence Be “Better” Than Humans in the Management of Syncope?
2024
·
Franca Dipaola
, Milena A. Gebska
, et al.
·
JACC Advances
·
14
Machine Learning and Syncope Management in the ED: The Future Is Coming
2021
·
Franca Dipaola
, Dana Shiffer
, et al.
·
Medicina
·
12
PDF
A Hybrid Model for 30-Day Syncope Prognosis Prediction in the Emergency Department
2023
·
Franca Dipaola
, Mauro Gatti
, et al.
·
Journal of Personalized Medicine
·
7
PDF
Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort
2025
·
Alessandro Giaj Levra
, Mauro Gatti
, et al.
·
Internal and Emergency Medicine
·
4
PDF
The hope and the hype of artificial intelligence for syncope management
2025
·
Samuel L Johnston
, E John Barsotti
, et al.
·
European Heart Journal - Digital Health
·
4
PDF
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
2021
·
Girardi, Ivan
, Vagenas, Panagiotis
, et al.
·
PubMed
·
2
PDF
[Clinical characteristics, familial distribution and preliminary genetic data in 9 different families with "Brugada's syndrome"].
1999
·
F Naccarella
, S Sdringola Maranga
, et al.
·
PubMed
·
1
A deep learning model for syncope recognition in the emergency department
2024
·
A Giaj Levra
, F Dipaola
, et al.
·
European Heart Journal
PDF
dataset related to project: development of a prediction model for the identification of COVID-19 patients at risk of clinical deterioration in the ED
2021
·
F.Dipaola
, R.Mene
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Show more works
View as search
Works count:
15
Citation count:
248
H-index:
8
I10-index:
8
Year
Topic
Type
