AIMC Topic: Time-to-Treatment

Clear Filters Showing 1 to 10 of 24 articles

Machine Learning Reveals Demographic Disparities in Palliative Care Timing Among Patients With Traumatic Brain Injury Receiving Neurosurgical Consultation.

Neurocritical care Dec 10, 2024
BACKGROUND: Timely palliative care (PC) consultations offer demonstrable benefits for patients with traumatic brain injury (TBI), yet their implementation remains inconsistent. This study employs machine learning methods to identify distinct patient ...
Machine Learning Female Aged Aged, 80 and over Humans Neurosurgical Procedures Healthcare Disparities Adult Referral and Consultation Male Time-to-Treatment Middle Aged Palliative Care Brain Injuries, Traumatic
View on PubMed DOI

Impact of Deep Learning-Based Computer-Aided Detection and Electronic Notification System for Pneumothorax on Time to Treatment: Clinical Implementation.

Journal of the American College of Radiology : JACR Nov 19, 2024
OBJECTIVE: To assess whether the implementation of deep learning (DL) computer-aided detection (CAD) that screens for suspected pneumothorax (PTX) on chest radiography (CXR) combined with an electronic notification system (ENS) that simultaneously al...
Time-to-Treatment Radiography, Thoracic Pneumothorax Humans Retrospective Studies Female Aged Middle Aged Diagnosis, Computer-Assisted Deep Learning Adult Male
View on PubMed DOI

Meta-analysis of the effectiveness of early endoscopic treatment of Acute biliary pancreatitis based on lightweight deep learning model.

BMC gastroenterology Aug 28, 2024
BACKGROUND: Acute biliary pancreatitis (ABP) is a clinical common acute abdomen. After the first pancreatitis, relapse rate is high, which seriously affects human life and health and causes great economic burdens to family and society. According to a...
Length of Stay Treatment Outcome Operative Time Acute Disease Cholangiopancreatography, Endoscopic Retrograde Humans Deep Learning Time-to-Treatment Pancreatitis
View on PubMed DOI

Innovative approaches in stroke care: insights from recent studies on patient delay, telemedicine, artificial intelligence, and machine learning.

Neurosurgical review Aug 1, 2024
Machine Learning Stroke Telemedicine Time-to-Treatment Humans Artificial Intelligence
View on PubMed DOI

Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Fluoroscopy Arrhythmias, Cardiac Heart Rate Catheter Ablation Treatment Outcome Action Potentials Operative Time Predictive Value of Tests Time-to-Treatment Electrophysiologic Techniques, Cardiac Artificial Intelligence Retrospective Studies Female Aged Case-Control Studies Time Factors Electrocardiography Male Middle Aged Humans
View on PubMed DOI

Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.

Mayo Clinic proceedings Jul 2, 2021
OBJECTIVE: To develop an artificial intelligence (AI)-based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG).
Time-to-Treatment Cardiomyopathies Amyloid Neuropathies, Familial Electrocardiography Humans Predictive Value of Tests Area Under Curve Neural Networks, Computer Early Diagnosis Artificial Intelligence Male Retrospective Studies Middle Aged Female United States
View on PubMed DOI

Predicting Ambulance Patient Wait Times: A Multicenter Derivation and Validation Study.

Annals of emergency medicine May 8, 2021
STUDY OBJECTIVE: To derive and internally and externally validate machine-learning models to predict emergency ambulance patient door-to-off-stretcher wait times that are applicable to a wide variety of emergency departments.
Ambulances Retrospective Studies Humans Australia Machine Learning Emergency Service, Hospital Time-to-Treatment
View on PubMed DOI

Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients.

Cerebrovascular diseases (Basel, Switzerland) Apr 13, 2021
BACKGROUND AND PURPOSE: Randomized controlled trials have demonstrated the importance of time to endovascular therapy (EVT) in clinical outcomes in large vessel occlusion (LVO) acute ischemic stroke. Delays to treatment are particularly prevalent whe...
Diagnosis, Computer-Assisted Predictive Value of Tests Triage Ischemic Stroke Time-to-Treatment Endovascular Procedures Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Workflow Aged Aged, 80 and over Male Middle Aged Humans Databases, Factual Artificial Intelligence Cerebral Angiography Retrospective Studies Decision Support Techniques Delivery of Health Care, Integrated Clinical Decision-Making Female
View on PubMed DOI

Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

BMC medical informatics and decision making Oct 27, 2020
BACKGROUND: Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of adverse...
Reproducibility of Results Male Severity of Illness Index Sepsis Forecasting Retrospective Studies Intensive Care Units Female Datasets as Topic Time-to-Treatment Humans Time Factors Machine Learning Hospital Mortality Algorithms Decision Support Systems, Clinical Predictive Value of Tests
View on PubMed DOI

Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Aug 26, 2020
BACKGROUND: Recently approved artificial intelligence (AI) software utilizes AI powered large vessel occlusion (LVO) detection technology which automatically identifies suspected LVO through CT angiogram (CTA) imaging and alerts on-call stroke teams....
Workflow Cerebral Angiography Stroke Female Humans Time-to-Treatment Aged Artificial Intelligence Computed Tomography Angiography Male Software Length of Stay Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals