Maria Elena Laino
Biographic Data
| ID | 7877155 |
|---|---|
| NAME | Maria Elena Laino |
| GIVEN NAMES | Maria Elena |
| FAMILY NAME | Laino |
| SIGNATURE | LAINO M E |
| AFFILIATIONS | IRCCS Humanitas Research Hospital |
| ORCID | 0000-0001-7964-8798 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke
Natural language processing (NLP)-based models in triage have the potential to improve the early detection of MIS and to actively support the clinical staff
Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based Covid-19 Patient Risk Assessment
Since December 2019, the world has been devastated by the Coronavirus Disease 2019 (COVID-19) pandemic. Emergency Departments have been experiencing situations of urgency where clinical experts, without long experience and mature means in the fight against COVID-19, have to rapidly decide the most proper patient treatment. In this context, we introduce an artificially intelligent tool for effective and efficient Computed Tomography (CT)-based ris…
No prominent works on this page.
Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based Covid-19 Patient Risk Assessment
Since December 2019, the world has been devastated by the Coronavirus Disease 2019 (COVID-19) pandemic. Emergency Departments have been experiencing situations of urgency where clinical experts, without long experience and mature means in the fight against COVID-19, have to rapidly decide the most proper patient treatment. In this context, we introduce an artificially intelligent tool for effective and efficient Computed Tomography (CT)-based ris…
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke
Natural language processing (NLP)-based models in triage have the potential to improve the early detection of MIS and to actively support the clinical staff
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · Acute Ischemic Stroke Management (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Context (archaeology (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 diagnosis using AI (1 work) · Data mining (1 work) · Disease (1 work)