Davide Placido
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Author Swipe
View article: Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans
Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans Open
Purpose: To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection, on a longitudinal cohort of patients. In particular, aiming for PC detection on scans acquired before histopathologic diagnosis was assess…
View article: <scp>INCEPT</scp>: The Intensive Care Platform Trial—Design and protocol
<span>INCEPT</span>: The Intensive Care Platform Trial—Design and protocol Open
Background Adult intensive care unit (ICU) patients receive many interventions, but few are supported by high‐certainty evidence. Randomised clinical trials (RCTs) are essential for trustworthy comparisons of intervention effects, but conv…
View article: Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives
Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives Open
Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we prov…
View article: Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study
Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study Open
Novo Nordisk Foundation and the Danish Innovation Foundation.
View article: Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients Open
Frequent assessment of the severity of illness for hospitalized patients is essential in clinical settings to prevent outcomes such as in-hospital mortality and unplanned admission to the intensive care unit (ICU). Classical severity score…
View article: Multi-cancer risk stratification based on national health data: A retrospective modelling and validation study
Multi-cancer risk stratification based on national health data: A retrospective modelling and validation study Open
Summary Background Health care is experiencing a drive towards digitisation and many countries are implementing national health data resources. Digital medicine promises to identify individuals at elevated risk of disease who may benefit f…
View article: Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients Open
Frequent assessment of the severity of illness for hospitalized patients is essential in clinical settings to prevent outcomes such as in-hospital mortality and unplanned ICU admission. Classical severity scores have been developed typical…
View article: Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records
Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records Open
We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pairs. Data arose from 12 secondary and tertiary public hospitals in two Danish regions, comp…
View article: Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records
Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records Open
Aim To create a drug safety signalling pipeline associating latent information in clinical free text with exposure profiles to highlight potential adverse drug reactions to single drugs and drug pairs. Methods All inpatient visits of a 500…
View article: Identifying patients at high risk of inappropriate drug dosing in periods with renal dysfunction
Identifying patients at high risk of inappropriate drug dosing in periods with renal dysfunction Open
Introduction Dosing of renally cleared drugs in patients with kidney failure often deviates from clinical guidelines but little is known about what is predictive of receiving inappropriate doses. Methods and materials We combined data from…
View article: Pancreatic cancer risk predicted from disease trajectories using deep learning
Pancreatic cancer risk predicted from disease trajectories using deep learning Open
Pancreatic cancer is an aggressive disease that typically presents late with poor patient outcomes. There is a pronounced medical need for early detection of pancreatic cancer, which can be addressed by identifying high-risk populations. H…