AIMC Topic: Pneumonia

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Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning.

Scientific reports Jan 10, 2025
The aim of this study was to develop and validate a machine learning-based mortality risk prediction model for patients with severe community-acquired pneumonia (SCAP) in the intensive care unit (ICU). We collected data from two centers as the develo...
Prognosis Intensive Care Units Female Risk Factors Humans Machine Learning Community-Acquired Infections Community-Acquired Pneumonia Risk Assessment ROC Curve Pneumonia Area Under Curve Aged Male Middle Aged
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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy.

Frontiers in immunology Jan 8, 2025
OBJECTIVES: The pairing of immunotherapy and radiotherapy in the treatment of locally advanced nonsmall cell lung cancer (NSCLC) has shown promise. By combining radiotherapy with immunotherapy, the synergistic effects of these modalities not only bol...
Deep Learning Lung Neoplasms Humans Immunotherapy Aged Pneumonia Carcinoma, Non-Small-Cell Lung Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Combined Modality Therapy Female Radiation Pneumonitis
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Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Scientific reports Jan 2, 2025
Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prolonged hospital stays. The potential of machine learning to enhance prediction accuracy in this context is significant, yet clinicians often lack the p...
Humans Machine Learning Retrospective Studies ROC Curve Female Community-Acquired Infections Pneumonia Aged Male Aged, 80 and over Area Under Curve Middle Aged Data Mining Length of Stay Hospital Mortality
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A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system.

PloS one Dec 27, 2024
BACKGROUND: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart...
Pneumonia Emergency Service, Hospital Heart Failure Dyspnea Cross-Sectional Studies Aged, 80 and over Delivery of Health Care Male Adult Female Middle Aged Pulmonary Disease, Chronic Obstructive Sweden Deep Learning Aged Humans
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A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.

Journal of medical Internet research Dec 19, 2024
BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) and is associated with increased morbidity and mortality.
Female Aged Male Middle Aged Humans Machine Learning Acute Kidney Injury Pneumonia Community-Acquired Infections
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Development and validation of interpretable machine learning models for postoperative pneumonia prediction.

Frontiers in public health Dec 11, 2024
BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surg...
Male Retrospective Studies Middle Aged Humans Postoperative Complications Female Machine Learning Pneumonia Aged Algorithms Adult
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Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.

International urology and nephrology Nov 2, 2024
PURPOSE: Pulmonary infection is the most common and serious complication after kidney transplantation that affects the survival of the transplanted kidney and the quality of life of patients. This study aims to construct a machine learning model for ...
Risk Factors Adult Male Middle Aged Risk Assessment Postoperative Complications Machine Learning Cohort Studies Kidney Transplantation Pneumonia Retrospective Studies Humans Female
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Auto encoder-based defense mechanism against popular adversarial attacks in deep learning.

PloS one Oct 21, 2024
Convolutional Neural Network (CNN)-based models are prone to adversarial attacks, which present a significant hurdle to their reliability and robustness. The vulnerability of CNN-based models may be exploited by attackers to launch cyber-attacks. An ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Pneumonia Deep Learning Computer Security
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Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens.

PloS one Oct 9, 2024
The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) algorithms to support diagnostic and treatment decisions. This rise has led to the development of Explainable AI (XAI) system to improve the transpare...
Radiography, Thoracic Betacoronavirus Humans Male Algorithms Artificial Intelligence Deep Learning Tomography, X-Ray Computed Pandemics Pneumonia Female COVID-19 Coronavirus Infections SARS-CoV-2
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Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification.

Journal of imaging informatics in medicine Oct 7, 2024
Trustworthiness is crucial for artificial intelligence (AI) models in clinical settings, and a fundamental aspect of trustworthy AI is uncertainty quantification (UQ). Conformal prediction as a robust uncertainty quantification (UQ) framework has bee...
Pneumonia Intracranial Hemorrhages Radiography, Thoracic Uncertainty Humans Artificial Intelligence Deep Learning
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