Prediction of Severe Acute Pancreatitis at a Very Early Stage of the Disease Using Artificial Intelligence Techniques, Without Laboratory Data or Imaging Tests

The ML models showed good predictive capacity for SAP, ICU admission, and mortality using early-stage data without laboratory or imaging tests. This approach could revolutionise AP patients' initial triage and management, providing a personalised prediction method based on early clinical data.

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Publication Details

Journal
Annals of Surgery
Published
2024-11-05
DOI
https://doi.org/10.1097/sla.0000000000006579
Citations
5
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
2.86
Controls
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article

Prediction of Severe Acute Pancreatitis at a Very Early Stage of the Disease Using Artificial Intelligence Techniques, Without Laboratory Data or Imaging Tests

Sara Villasante, Elizabeth Pando, Nair Fernandes, Concepción Gómez‐Gavara et al.
5 citations
Annals of Surgery
Pancreatitis Pathology and Treatment
2.86
article

Prediction of Severe Acute Pancreatitis at a Very Early Stage of the Disease Using Artificial Intelligence Techniques, Without Laboratory Data or Imaging Tests

Sara Villasante, Elizabeth Pando, Nair Fernandes, Concepción Gómez‐Gavara, Miguel Ángel Cordobés, Marc Perez, R. Charco, Piero Alberti, María Martínez-Martínez, L. Blanco, Gemma Piella
article en
5 citations

Abstract

The ML models showed good predictive capacity for SAP, ICU admission, and mortality using early-stage data without laboratory or imaging tests. This approach could revolutionise AP patients' initial triage and management, providing a personalised prediction method based on early clinical data.

Annals of Surgery
Universitat Autònoma de Barcelona (ES), Universitat Pompeu Fabra (ES), Vall d'Hebron Hospital Universitari (ES), ET International (United States) (US)
Good health and well-being
Openalex Percentile: Top 9%
Pancreatitis Pathology and Treatment
2.86
DOIOpen Access PDFOpenAlex
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Prediction of Severe Acute Pancreatitis at a Very Early Stage of the Disease Using Artificial Intelligence Techniques, Without Laboratory Data or Imaging Tests — Sara Villasante, Elizabeth Pando, et al. · Annals of Surgery (2024) | TGRS Research Map | TGRS