AIMC Topic: Time Factors

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Initiation of antifibrotic treatment in fibrosing interstitial lung disease: is the clock ticking till proven progression?

European respiratory review : an official journal of the European Respiratory Society Aug 6, 2025
Several interstitial lung diseases (ILDs) with different aetiologies and pathogenic mechanisms may exhibit a progressive behaviour, similar to idiopathic pulmonary fibrosis, with comparable functional decline and early mortality. Progressive pulmonar...
Humans Clinical Decision-Making Treatment Outcome Antifibrotic Agents Risk Factors Pulmonary Fibrosis Disease Progression Lung Diseases, Interstitial Lung Time Factors
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Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025
BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ...
Morbidity Hip Fractures Sepsis Cohort Studies Algorithms Humans Time Factors Female Machine Learning Aged Risk Factors Aged, 80 and over Male Risk Assessment
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Deep learning-based real-time detection of head and neck tumors during radiation therapy.

Physics in medicine and biology Jul 31, 2025
Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are accounting for motion caused by changes to the immobilization mask fit, and to reduce mask-related patient distress by replacing the masks with patien...
Humans Deep Learning Head and Neck Neoplasms Time Factors Radiotherapy, Image-Guided Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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When time is of the essence: ethical reconsideration of XAI in time-sensitive environments.

Journal of medical ethics Jul 23, 2025
The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians' diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing ...
Humans Time Factors Decision Support Systems, Clinical Artificial Intelligence Clinical Decision-Making Trust
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Machine Learning-Based Retention Time Prediction Tool for Routine LC-MS Data Analysis.

Journal of chemical information and modeling Jul 16, 2025
Accurate retention time () prediction models can significantly improve liquid chromatography-mass spectrometry (LC-MS) data analysis widely used in chemical synthesis. As hundreds of thousands of syntheses are performed annually at Enamine, a large a...
Mass Spectrometry Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Machine Learning Data Analysis Time Factors Neural Networks, Computer
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Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study.

Critical care (London, England) Jul 14, 2025
BACKGROUND: The current Surviving Sepsis Campaign (SSC) guidelines provide recommendations on timing of administering antibiotics in sepsis patients based on probability of sepsis and presence of shock. However, there have been minimal efforts to str...
Deep Learning Sepsis Cohort Studies Time Factors Hospital Mortality Mortality Aged, 80 and over Male Middle Aged Risk Assessment Humans Anti-Bacterial Agents Prospective Studies Female Aged
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Multi-scale time series prediction model based on deep learning and its application.

PloS one Jul 10, 2025
Time series prediction is a widely used key technology, and traffic flow prediction is its typical application scenario. Traditional time series prediction models such as LSTM (Long Short- Term Memory) and CNN (Convolution Neural Network)-based model...
Humans Neural Networks, Computer Deep Learning Time Factors Models, Theoretical
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Predicting time-to-first cancer diagnosis across multiple cancer types.

Scientific reports Jul 9, 2025
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting ti...
Humans Machine Learning Female Aged Time Factors Lung Neoplasms Male Early Detection of Cancer Proportional Hazards Models Middle Aged Neoplasms
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Effects of device-assisted practice of activities of daily living in a close-to-normal pattern on upper extremity motor recovery in individuals with moderate to severe stroke: study protocol of a randomized control trial.

Trials Jul 4, 2025
BACKGROUND: The majority of individuals with chronic stroke have residual upper extremity (UE) disability which they cite as their greatest barrier to recovery. Using orthoses, robotic devices, and functional electrical stimulation (FES) represent re...
Electric Stimulation Therapy Stroke Rehabilitation Clinical Protocols Orthotic Devices Paresis Humans Motor Activity Recovery of Function Research Design Upper Extremity Severity of Illness Index Equipment Design Robotics Stroke Time Factors Disability Evaluation Activities of Daily Living Treatment Outcome Double-Blind Method
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BMC cardiovascular disorders Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Atrial Fibrillation Risk Factors Prognosis Boosting Machine Learning Algorithms Humans Predictive Value of Tests Aged Male Retrospective Studies Cause of Death Machine Learning Aged, 80 and over Heart Failure Middle Aged Female Decision Support Techniques Risk Assessment Reproducibility of Results Time Factors
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