A5002401781- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Artificial Intelligence in Healthcare and Education
- Cardiovascular Function and Risk Factors
- Radiology practices and education
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Sarcoma Diagnosis and Treatment
- Pancreatitis Pathology and Treatment
- Cardiovascular Effects of Exercise
- Pancreatic and Hepatic Oncology Research
- Hormonal Regulation and Hypertension
- Embodied and Extended Cognition
- AI in cancer detection
- Gastrointestinal Tumor Research and Treatment
- Gastrointestinal disorders and treatments
- Radiation Dose and Imaging
- Evolutionary Algorithms and Applications
- Ion channel regulation and function
- Photosynthetic Processes and Mechanisms
- Gastric Cancer Management and Outcomes
- Urologic and reproductive health conditions
- MRI in cancer diagnosis
- Plant responses to elevated CO2
- Cardiomyopathy and Myosin Studies
University of Pisa
2018-2024
Italian Institute of Technology
2024
Candiolo Cancer Institute
2019-2023
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research of radiomics studies. Methods We conducted an online modified Delphi study with group international experts. It was performed in three consecutive stages: Stage#1, item preparation; Stage#2, panel discussion among EuSoMII Auditing Group members identify the items be voted; Stage#3, four rounds exercise by panelists determine eligible for METRICS their weights. The...
To investigate the intra- and inter-rater reliability of total radiomics quality score (RQS) reproducibility individual RQS items' in a large multireader study.
To develop a mutation-based radiomics signature to predict response imatinib in Gastrointestinal Stromal Tumors (GISTs).Eighty-two patients with GIST were enrolled this retrospective study, including 52 from one center that used the model, and 30 second validate it. Reference standard was mutational status of tyrosine-protein kinase (KIT) platelet-derived growth factor α (PDGFRA). Patients dichotomized sensitive (group 0 - mutation KIT or PDGFRA, different exon 18-D842V), non-responsive 1...
The objective of this study was to assess the inappropriateness rate oncological follow-up CT examinations.Out 7.000 oncology patients referred for examinations between March and October 2022, a random sample 10 % included. Radiology residents assessed appropriateness using Italian Society Medical Oncology (AIOM) guidelines, supervised by senior radiologists. Association clinical variables investigated influencing were analyzed through binary logistic regression.Three-hundred-eighty-eight...
Abstract Artificial intelligence (AI) has undergone cycles of enthusiasm and stagnation, often referred to as “AI winters.” The introduction large language models (LLMs), such OpenAI’s ChatGPT in late 2022, revitalized interest AI, particularly within health-care applications, including radiology. roots AI processing can be traced back Alan Turing’s 1950 work, which established foundational principles for natural (NLP). Early iterations NLP primarily concentrated on understanding (NLU)...