A5050775542- COVID-19 diagnosis using AI
- COVID-19 and healthcare impacts
- Pleural and Pulmonary Diseases
- Lung Cancer Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Pharmacological Effects and Toxicity Studies
- COVID-19 Clinical Research Studies
- COVID-19 and Mental Health
- Neonatal and fetal brain pathology
- Cleft Lip and Palate Research
- Craniofacial Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Pathology Studies
- Augmented Reality Applications
- AI in cancer detection
- Lung Cancer Treatments and Mutations
- Ultrasound in Clinical Applications
- Facial Trauma and Fracture Management
- Soft tissue tumor case studies
- Epilepsy research and treatment
- Salivary Gland Tumors Diagnosis and Treatment
Ospedale San Luigi Gonzaga
2017-2024
University of Turin
2020-2024
Bambino Gesù Children's Hospital
2024
Istituti di Ricovero e Cura a Carattere Scientifico
2024
To assess the reliability of CXR and to describe findings clinical laboratory characteristics associated with positive negative CXR.Retrospective two-center study on consecutive patients admitted emergency department two north-western Italian hospitals in March 2020 suspicion COVID-19 confirmed by RT-PCR who underwent within 24 h swab execution. 260 (61% male, 62.8 ± 15.8 year) were enrolled. CXRs rated as (CXR+) or (CXR-), features reported included presence distribution airspace opacities,...
Concern may exist that pulmonary lesions associated with cystic airspaces are at risk of increased biopsy complications or lower accuracy given challenges in targeting tissue abutting intermingled the airspaces.
The aim of our study is the development an automatic tool for prioritization COVID-19 diagnostic workflow in emergency department by analyzing chest X-rays (CXRs). Convolutional Neural Network (CNN)-based method we propose has been tested retrospectively on a single-center set 542 CXRs evaluated experienced radiologists. SARS-CoV-2 positive dataset (n = 234) consists collected between March and April 2020, with infection being confirmed RT-PCR test within 24 h. negative 308) includes from...
Abstract BACKGROUND Virtual reality (VR) solutions are emerging as a useful adjunct to the armamentarium of neurosurgeon. Surprisingly, little data is available in literature regarding its utility pediatric neurosurgical oncology. We hereby report our preliminary Institutional experience on application VR surgical rehearsal series brain tumors. METHODS models were obtained by Surgical Planner (Surgical Theatre, Inc) 50 consecutive tumor cases treated at Bambino Gesù Children’s Hospital....
Hemispherotomy is an effective disconnection technique for the treatment of different forms drug-resistant epilepsy due to encephalopathies with unilateral hemispheric involvement. 1-8 We describe case a 6-year-old child affected by Rasmussen encephalitis who underwent right vertical parasagittal hemispherotomy. 9 The goal procedure was isolate basal ganglia region interrupting interhemispheric and intrahemispheric white matter connectivity. main surgical steps include transcortical approach...