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Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome
J Clin Med. 2024 Mar 5;13(5):1505. doi: 10.3390/jcm13051505.ABSTRACTThe management of mechanical ventilation (MV) remains a challenge in intensive care units (ICUs). The digitalization of healthcare and the implementation of artificial intelligence (AI) and machine learning (ML) has significantly influenced medical decision-making capabilities, potentially enhancing patient outcomes. Acute respiratory distress syndrome, an overwhelming inflammatory lung disease, is common in ICUs. Most patients require MV. Prolonged MV is associated with an increased length of stay, morbidity, and mortality. Shortening the MV duration has ...
Source: Pain Physician - April 9, 2024 Category: Anesthesiology Authors: Tamar Stivi Dan Padawer Noor Dirini Akiva Nachshon Baruch M Batzofin Stephane Ledot Source Type: research

Impact of Blood Products Transfusion on Patients in the Immediate Post-Lung Transplant Period: A Cohort Study
CONCLUSIONS Among lung transplant recipients, PGD, ICU days, need for mechanical ventilation and ECMO support, and total composite events were significantly greater in patients who received blood transfusion perioperatively.PMID:38590090 | DOI:10.12659/AOT.943652 (Source: Annals of Transplantation)
Source: Annals of Transplantation - April 9, 2024 Category: Transplant Surgery Authors: Atif S Siddiqui Jawairia Shakil Source Type: research

Impact of Blood Products Transfusion on Patients in the Immediate Post-Lung Transplant Period: A Cohort Study
CONCLUSIONS Among lung transplant recipients, PGD, ICU days, need for mechanical ventilation and ECMO support, and total composite events were significantly greater in patients who received blood transfusion perioperatively.PMID:38590090 | PMC:PMC11015745 | DOI:10.12659/AOT.943652 (Source: Annals of Transplantation)
Source: Annals of Transplantation - April 9, 2024 Category: Transplant Surgery Authors: Atif S Siddiqui Jawairia Shakil Source Type: research

Novel Strategies for Optimization of the Pre-transplant Donor Lung
AbstractPurpose of ReviewWhile the number of lung transplants continues to increase, there remains an imbalance between potential lung transplant candidates and acceptable donor lungs resulting in excess mortality. We sought to describe the current state of donor acceptance practices and highlight novel approaches that have the potential to result in an increase in acceptable lungs available for transplant.Recent FindingsIncreased utilization of lungs from donors with positive nucleic acid amplification tests for hepatitis C, donation after circulatory death, lungs conditioned for transplant at Centralized Lung Evaluation ...
Source: Current Respiratory Care Reports - April 9, 2024 Category: Respiratory Medicine Source Type: research

The role of coronary artery disease in lung transplantation: a propensity-matched analysis
CONCLUSION: In this cohort, relevant CAD was not associated with worse outcomes and should therefore not be considered a contraindication for LuTx. Nonetheless, cardiovascular events in CAD patients highlight the necessity of control of cardiovascular risk factors and a structured cardiac follow-up.PMID:38587564 | DOI:10.1007/s00392-024-02445-y (Source: Clin Med Res)
Source: Clin Med Res - April 8, 2024 Category: Research Authors: Enzo L üsebrink Nils Gade Paula Seifert Felix Ceelen Tobias Veit Fabian Fohrer Sabine Hoffmann Julia H öpler Leonhard Binzenh öfer Daniel Roden Inas Saleh Hugo Lanz Sebastian Michel Christian Schneider Michael Irlbeck Roland Tomasi Rudolf Hatz J örg H Source Type: research

Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging
Over the last few years, advancements in artificial intelligence (AI) and increased expertise in deep learning have proven to be proficient in learning patterns for large-scale data [1]. Convolutional neural networks have been successfully utilized in endeavors to develop algorithms for image interpretation tasks in radiology [1 –4]. A lot of interest has been raised for the development of AI tools for automatic detection of pulmonary nodules on chest Computed Tomography (CT)[1,5–7]. The potentially huge number of CT examinations, associated with the advent of population-based lung cancer screening (LCS) programs, coul...
Source: Physica Medica: European Journal of Medical Physics - April 8, 2024 Category: General Medicine Authors: Louise D'hondt, Pieter-Jan Kellens, Kwinten Torfs, Hilde Bosmans, Klaus Bacher, Annemiek Snoeckx Source Type: research

The role of coronary artery disease in lung transplantation: a propensity-matched analysis
ConclusionIn this cohort, relevant CAD was not associated with worse outcomes and should therefore not be considered a contraindication for LuTx. Nonetheless, cardiovascular events in CAD patients highlight the necessity of control of cardiovascular risk factors and a structured cardiac follow-up. (Source: Clinical Research in Cardiology)
Source: Clinical Research in Cardiology - April 8, 2024 Category: Cardiology Source Type: research

Diagnostic performance of a deep-learning model using 18F-FDG PET/CT for evaluating recurrence after radiation therapy in patients with lung cancer
ConclusionThe 2D slice-based CNN model using18F-FDG PET imaging was able to distinguish well between RT-related changes and tumour recurrence in patients with lung cancer. (Source: Annals of Nuclear Medicine)
Source: Annals of Nuclear Medicine - April 8, 2024 Category: Nuclear Medicine Source Type: research