Filippo Chiabrando

Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research

Alberto Traverso, Donato Tiano, Andrea Corvaglia, Alessio Dimonte et autres

The translation of Artificial Intelligence (AI) into clinical practice demands high-quality Real-World Data (RWD), yet unstructured healthcare information poses a significant barrier. To address this, we developed S-RACE, a secure, cloud-based platform designed to systematically transform raw hospital data into high-quality, research-grade …

it (code pays fourni par la source)

Exploring machine learning tools in a retrospective case-study of patients with metastatic non-small cell lung cancer treated with first-line immunotherapy: A feasibility single-centre experience

Francesca Rita Ogliari, Alberto Traverso, Simone Barbieri, Marco Montagna et autres

it (code pays fourni par la source)

Impact of Clinical Decision Support Systems on Medical Students’ Case-Solving Performance: Comparison Study with a Focus Group

Marco Montagna, Filippo Chiabrando, Rebecca De Lorenzo, Patrizia Rovere‐Querini

Background: Health care practitioners use clinical decision support systems (CDSS) as an aid in the crucial task of clinical reasoning and decision-making. Traditional CDSS are online repositories (ORs) and clinical practice guidelines (CPG). Recently, large language models (LLMs) such as ChatGPT have …

it (code pays fourni par la source)

A large language model-powered digital assistant for up-to-date COVID-19 outpatient management (Preprint)

Marco Montagna, Filippo Chiabrando, Federico Baldini, Davide Ficocelli et autres

UNSTRUCTURED The medical community is both excited and worried by the advent of artificial intelligence in healthcare, whereby two disciplines meet for the benefit of patients. This is especially true when considering large language models (LLM) for generative functions. This letter briefly …

Monoclonal antibodies against SARS-CoV-2 to prevent COVID-19 worsening in a large multicenter cohort

Alessandro Soria, Francesca Graziano, Giulia Irene Ghilardi, Giuseppe Lapadula et autres

Abstract Objective Monoclonal antibodies (mAbs) against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reduced Coronavirus Disease 2019 (COVID-19) hospitalizations in people at risk of clinical worsening. Real-world descriptions are limited. Methods CONDIVIDIAMO, a two-year multicenter observational study, consecutively enrolled SARS-CoV-2 outpatients with …

it, us (code pays fourni par la source)

Muscle quality assessment in COVID-19 survivors: agreement between echointensity and stiffness

Sarah Damanti, Marta Cilla, Bruno Tuscano, Chiara Pomaranzi et autres

it (code pays fourni par la source)

Clinical decision support systems during teaching: a hands-on comparison (Preprint)

Marco Montagna, Filippo Chiabrando, Rebecca De Lorenzo, Patrizia Rovere‐Querini

BACKGROUND Healthcare practitioners use Clinical Decision Support Systems (CDSS) as an aid in the crucial task of clinical reasoning and decision making. Traditional CDSS are Online Repositories (OR) and Clinical Practice Guidelines (CPG). Recently, Large Language Models (LLMs) like ChatGPT have emerged …