Critical Care

Automated Detection of Ventilator Asynchronies: A Clinical and Technological Perspective.

Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its detection at the bedside remains limited. Conventional waveform inspection is intermittent, operator-dependent, and insufficient to capture the complexity and temporal variability of patient-ventilator interaction. Automated systems based on advanced signal processing and artificial intelligence repre...

Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation.

OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopulmonary failure, but structured training remains constrained by costs, logistics, and the absence of validated high-fidelity simulators. This study aimed to develop an ECMO digital twin capable of supporting training in virtual reality (VR). METHODS: We integrated high-frequency ECMO machine data wit...

Deep learning-based estimation of lung collapse in electrical impedance tomography: A simulation and phantom study.

Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead to lung collapse and overdistention, increasing the...

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables including ...

Development and Validation of a Frailty Risk Prediction Model for Preoperative Non-Small-Cell Lung Cancer Patients: A Cross-Sectional Study.

PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preoperative assessment in patients with non-small-cell ...

Vulnerability and short clinical outcomes in patients on the deceased-donor kidney transplant waiting list.

BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, objective data on frailty among wait-listed patien...

Deep Learning-Based Auto-Navigation for Free-Breathing Golden-Angle Radial MRI.

PURPOSE: To develop a deep learning-based auto-navigation technique for free-breathing golden-angle radial MRI named RANGR (Respiratory Auto-Navigator...

Deep Learning-Based Multi-Stage System for Automated Tooth Detection and Segmentation in Orthodontic Photography.

This study aimed to develop and evaluate a fully automated, artificial intelligence-driven system for tooth detection and segmentation from complete o...

Interpretable machine learning and deep neural networks for ICU admission prediction in paediatric respiratory patients.

Direct Integration of Ionic Liquid Gel Sensors onto Microfibrous Face Mask Substrates for Wearable Respiratory Health Monitoring.

Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health outside of clinical settings, for example, to suppo...

Interpretable machine learning-based real-time sepsis diagnosis.

Gross motor performance of infants with an at-home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study.

AIM: To evaluate the concurrent validity of assessing infants' gross motor performance with an at-home wearable measurement versus the Alberta Infant ...

Sepsis Diagnostics via Biosensors: Engineering Platforms, Artificial Intelligence Integration, and Clinical Translation.

Sepsis remains one of the most diagnostically challenging syndromes due to its clinical heterogeneity, overlapping host-pathogen responses, and lack o...

Clinical validation of perfusion imaging with pulmonary function test data using Voronoi-based discretization.

Accurate lung function assessment is essential for diagnosing and managing diseases like COPD, pulmonary emboli, and lung cancer. Single-photon emissi...

Estimating the odds ratio from the output scores of machine learning models: possibilities and limitations.

Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for mode...

Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications.

BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy lo...

Artificial intelligence and machine learning applications in dialysis: Current applications, challenges, and future directions.

Artificial intelligence (AI) and machine learning (ML) applications have emerged as transformative technologies in nephrology, particularly in dialysi...

In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure.

Artificial intelligence-based prediction of postoperative sepsis in patients undergoing suction mini-percutaneous nephrolithotomy in real world practice: a multicenter analysis from the global Suction Lechnology Utility in Mini-PCNL Study (STUMPS) registry.

Multimodal hybrid mamba classification model for tumor pathological grade prediction using magnetic resonance images.

Malignant tumors present a significant global health challenge, and accurate pathological grading is essential for personalized treatment. Traditional...