AIMC Topic: Acute Disease
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Deep learning-based radiomics of computed tomography angiography to predict adverse events after initial endovascular repair for acute uncomplicated Stanford type B aortic dissection.
European journal of radiology
Apr 15, 2024
PURPOSE: This study aimed to construct a predictive model integrating deep learning-derived radiomic features from computed tomography angiography (CTA) and clinical biomarkers to forecast postoperative adverse events (AEs) in patients with acute unc...
Deep learning assists in acute leukemia detection and cell classification via flow cytometry using the acute leukemia orientation tube.
Scientific reports
Apr 9, 2024
This study aimed to evaluate the sensitivity of AI in screening acute leukemia and its capability to classify either physiological or pathological cells. Utilizing an acute leukemia orientation tube (ALOT), one of the protocols of Euroflow, flow cyto...
Comparison of an interpretable extreme gradient boosting model and an artificial neural network model for prediction of severe acute pancreatitis.
Polish archives of internal medicine
Mar 15, 2024
INTRODUCTION: Acute pancreatitis (AP) that progresses to persistent organ failure is referred to as severe acute pancreatitis (SAP). It is a condition associated with a relatively high mortality. A prediction model that would facilitate early recogni...
Current use of artificial intelligence in the diagnosis and management of acute appendicitis.
Minerva surgery
Mar 13, 2024
INTRODUCTION: Acute appendicitis is a common and time-sensitive surgical emergency, requiring rapid and accurate diagnosis and management to prevent complications. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offer...
Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review.
Updates in surgery
Mar 12, 2024
Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care by analyzing large amounts of data to help make more informed decisions regarding treatments and enhance medical research through analyzing and inter...
Embracing the age of artificial intelligence: paradigm shifts, opportunities, and challenges in the treatment of acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.
Science China. Life sciences
Feb 27, 2024
Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning.
International journal of medical informatics
Jan 20, 2024
OBJECTIVE: Aim to establish a multimodal model for predicting severe acute pancreatitis (SAP) using machine learning (ML) and deep learning (DL).
AI-augmented clinical decision in paediatric appendicitis: can an AI-generated model improve trainees' diagnostic capability?
European journal of pediatrics
Dec 27, 2023
UNLABELLED: Accurate diagnosis of paediatric appendicitis remains a challenge due to its diverse clinical presentations and reliance on subjective assessments. The integration of artificial intelligence (AI) with an expert's ''clinical sense'' has th...
Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models.
World journal of emergency surgery : WJES
Dec 19, 2023
BACKGROUND: To assess the efficacy of artificial intelligence (AI) models in diagnosing and prognosticating acute appendicitis (AA) in adult patients compared to traditional methods. AA is a common cause of emergency department visits and abdominal s...
Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
Academic radiology
Nov 27, 2023
RATIONALE AND OBJECTIVES: To construct and validate a deep learning radiomics (DLR) model based on X-ray images for predicting and distinguishing acute and chronic osteoporotic vertebral fractures (OVFs).
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