Riccardo Bellazzi
Overview
Explore the profile of Riccardo Bellazzi including associated specialties, affiliations and a list of published articles.
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Articles
245
Citations
3416
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Recent Articles
1.
Peracchio L, Nicora G, Parimbelli E, Buonocore T, Tavazzi E, Bergamaschi R, et al.
Int J Med Inform
. 2025 Mar;
197:105857.
PMID: 40037268
Objectives: AI/ML advancements have been significant, yet their deployment in clinical practice faces logistical, regulatory, and trust-related challenges. To promote trust and informed use of ML predictions in real-world scenarios,...
2.
Melazzini L, Bortolotto C, Brizzi L, Achilli M, Basla N, DOnorio De Meo A, et al.
Eur Radiol Exp
. 2025 Feb;
9(1):28.
PMID: 39987533
Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) solutions, especially deep learning-based, tailored to enhance radiological procedures, in particular algorithms designed to minimize radiation exposure and enhance...
3.
Santangelo G, Nicora G, Bellazzi R, Dagliati A
BMC Med Inform Decis Mak
. 2025 Feb;
25(1):89.
PMID: 39966793
Background: The exponential growth in patient data collection by healthcare providers, governments, and private industries is yielding large and diverse datasets that offer new insights into critical medical questions. Leveraging...
4.
Menezes M, Hoffmann A, Tan A, Nalbandyan M, Omenn G, Mazzotti D, et al.
Lancet Digit Health
. 2024 Dec;
7(1):e35-e43.
PMID: 39722251
Background: Patient notes contain substantial information but are difficult for computers to analyse due to their unstructured format. Large-language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4), have changed...
5.
Dimitri P, van Dommelen P, Banerjee I, Bellazzi R, Ciaccio M, De Arriba Munoz A, et al.
Front Endocrinol (Lausanne)
. 2024 Oct;
15:1436778.
PMID: 39473505
Smart technologies and connected health are providing opportunities for improved healthcare for chronic conditions. Acceptance by healthcare professionals (HCPs) and patients is crucial for successful implementation. Evidence-based standards, technological infrastructure...
6.
Rancati S, Nicora G, Prosperi M, Bellazzi R, Salemi M, Marini S
Brief Bioinform
. 2024 Oct;
25(6).
PMID: 39446192
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, and sublineages that outcompete earlier strains, largely due to factors like increased transmissibility and immune escape....
7.
Giancotti R, Bosoni P, Vizza P, Tradigo G, Gnasso A, Guzzi P, et al.
Comput Methods Programs Biomed
. 2024 Sep;
257:108438.
PMID: 39332152
Background: Type 1 Diabetes Mellitus (T1DM) is a chronic metabolic disease affecting millions of people worldwide. T1DM requires patients to continuously monitor their blood glucose levels. Due to pancreatic dysfunctions,...
8.
Sottotetti F, Malovini A, Maccarone S, Riva G, Tibollo V, Palumbo R, et al.
Clin Nutr ESPEN
. 2024 Jul;
63:585-594.
PMID: 39053694
Background & Aims: The prevalence and clinical significance of vitamin B12 alterations in patients with cancer are poorly understood. We aimed to assess the prevalence and risk factors of vitamin...
9.
Bergomi L, Buonocore T, Antonazzo P, Alberghi L, Bellazzi R, Preda L, et al.
Artif Intell Med
. 2024 Jul;
154:102924.
PMID: 38964194
Background: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently, the adoption of structured reporting (SR) has been recommended by various...
10.
Nicora G, Catalano M, Bortolotto C, Achilli M, Messana G, Lo Tito A, et al.
J Imaging
. 2024 May;
10(5).
PMID: 38786571
Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large data sources have been identified as useful tools to support clinicians in their decisional process; AI and...