A5052715111- Radiomics and Machine Learning in Medical Imaging
- Colorectal Cancer Screening and Detection
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Radiology practices and education
- Radiation Dose and Imaging
- Colorectal Cancer Surgical Treatments
- Gastric Cancer Management and Outcomes
- Lung Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Diverticular Disease and Complications
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- Aortic aneurysm repair treatments
- Ear Surgery and Otitis Media
- Renal and Vascular Pathologies
- Digital Radiography and Breast Imaging
- Celiac Disease Research and Management
- Hepatocellular Carcinoma Treatment and Prognosis
- Vestibular and auditory disorders
- COVID-19 diagnosis using AI
- Medical Image Segmentation Techniques
University of Pisa
2016-2025
Azienda Ospedaliero-Universitaria Careggi
2023-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2024
Vita-Salute San Raffaele University
2024
Surgical Specialties (United States)
2024
The University of Texas Southwestern Medical Center
2024
New York University
2024
University Hospital of Heraklion
2024
Stanford University
2024
University of California System
2024
Abstract Advancements in data acquisition and computational methods are generating a large amount of heterogeneous biomedical from diagnostic domains such as clinical imaging, pathology, next-generation sequencing (NGS), which help characterize individual differences patients. However, this information needs to be available suitable promote support scientific research technological development, supporting the effective adoption precision medicine approach practice. Digital biobanks can...
To determine coeliac disease prevalence by an anti-transglutaminase antibody assay in a large paediatric population; to evaluate acceptance of the screening programme, dietary compliance, and long term health effects.Cross-sectional survey 3188 schoolchildren (aged 6-12) prospective follow up diagnosed cases. Main outcome measures were: defined intestinal biopsy or positivity both human tissue transglutaminase anti-endomysium antibodies HLA DQ2-8 positive subjects; percentage children whose...
To evaluate computed tomographic (CT) colonography in patients with clinical suspicion of colorectal cancer and whom colonoscopy was incomplete.After incomplete colonoscopy, 34 underwent CT before after intravenous injection iodinated contrast agent, supine prone positions. Twenty no evidence colon complete were included as a control group. Sensitivity specificity determined for detection cancers, polyps, metastases to liver.In 29 patients, surgery revealed 30 cancers (three synchronous...
To update quality standards for CT colonography based on consensus among opinion leaders within the European Society of Gastrointestinal and Abdominal Radiology (ESGAR).A multinational panel nine members ESGAR Working Group (representing six EU countries) used a modified Delphi process to rate their level agreement variety statements pertaining acquisition, interpretation implementation colonography. Four rounds were conducted, each at 2 months interval.The elaborated 86 statements. In final...
To develop a consensus and provide updated recommendations on liver MR imaging the clinical use of liver-specific contrast agents. The European Society Gastrointestinal Abdominal Radiology (ESGAR) formed multinational panel experts, selected basis literature review their leadership in field imaging. A modified Delphi process was adopted to draft list statements. Descriptive Cronbach’s statistics were used rate levels agreement internal reliability consensus. Three rounds conducted 76...
Artificial intelligence (AI) is poised to change much about the way we practice radiology in near future. The power of AI tools has potential offer substantial benefit patients. Conversely, there are dangers inherent deployment radiology, if this done without regard possible ethical risks. Some issues obvious; others less easily discerned, and avoided. This paper explains some difficulties which presently aware, measures may take protect against misuse AI.
Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used coronary artery disease, arthritides and neurological conditions indicating likelihood malignancy. However, an era machine learning artificial intelligence, it increasingly desirable that we extract quantitative biomarkers from images inform disease...
Main recommendations 1 ESGE/ESGAR recommend computed tomographic colonography (CTC) as the radiological examination of choice for diagnosis colorectal neoplasia.Strong recommendation, high quality evidence. do not barium enema in this setting.Strong 2 CTC, preferably same or next day, if colonoscopy is incomplete. The timing depends on an interdisciplinary decision including endoscopic and factors.Strong low suggests that, centers with expertise availability colon capsule endoscopy (CCE),...
Late gadolinium enhancement (LGE) is the most relevant tool of cardiac magnetic resonance for tissue characterization, and it plays a pivotal role diagnostic prognostic assessment cardiomyopathies. The pattern presentation LGE allows differential diagnosis between ischaemic non-ischaemic heart disease with high accuracy, among different cardiomyopathies, specific may help to make diagnosis. be caused by conditions that significantly increase interstitial space or, less frequently, slow down...
Abstract The term Explainable Artificial Intelligence (xAI) groups together the scientific body of knowledge developed while searching for methods to explain inner logic behind AI algorithm and model inference based on knowledge-based interpretability. xAI is now generally recognized as a core area AI. A variety currently are available researchers; nonetheless, comprehensive classification still lacking. In addition, there no consensus among researchers with regards what an explanation...
Abstract Objectives To assess radiologists’ current use of, and opinions on, structured reporting (SR) in oncologic imaging, to provide recommendations for a report template. Materials methods An online survey with 28 questions was sent European Society of Oncologic Imaging (ESOI) members. The questionnaire had four main parts: (1) participant information, e.g., country, workplace, experience, SR use; (2) design, numbers sections fields, template (3) clinical impact SR, on quality length,...
ESGE European Society of Gastrointestinal Endoscopy FIT fecal immunochemical test FOBT occult blood testing GRADE Grading Recommendations Assessment, Development and Evaluation NPV negative predictive value PEG polyethylene glycol PPV positive This is an official guideline the (ESGE) Abdominal Radiology (ESGAR), published in simultaneously.It addresses clinical indications for use computed tomographic colonography (CTC).A targeted literature search was performed to evaluate evidence...
Abstract PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence cancer treatment in children. It a 4-year European Commission-financed project that has 16 partners consortium, including Society for Paediatric Oncology, two imaging biobanks, three prominent paediatric oncology units. The constructed as an observational silico study involving high-quality anonymised datasets (imaging, clinical, molecular, genetics) training...