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 Pulmonary Fibrosis Lung Diseases, Interstitial Risk Factors Disease Progression 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 Algorithms Female Hip Fractures Risk Factors Humans Sepsis Aged Machine Learning Cohort Studies Aged, 80 and over Time Factors 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 Radiotherapy, Image-Guided Time Factors 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 Prospective Studies Female Aged Humans Anti-Bacterial Agents
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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 Male Lung Neoplasms Middle Aged Early Detection of Cancer Neoplasms Proportional Hazards Models
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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 Humans Recovery of Function Stroke Rehabilitation Research Design Severity of Illness Index Robotics Clinical Protocols Disability Evaluation Time Factors Double-Blind Method Orthotic Devices Treatment Outcome Equipment Design Paresis Stroke Motor Activity Activities of Daily Living Upper Extremity
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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 Boosting Machine Learning Algorithms Predictive Value of Tests Cause of Death Heart Failure Risk Factors Male Aged Humans Middle Aged Aged, 80 and over Prognosis Machine Learning Risk Assessment Retrospective Studies Decision Support Techniques Time Factors Female Reproducibility of Results
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