AIMC Topic: Hospitals

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Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review.

Journal of medical Internet research May 18, 2023
BACKGROUND: European national disparities in the integration of data linkage (ie, being able to match patient data between databases) into routine public health activities were recently highlighted. In France, the claims database covers almost the wh...
Registries Information Storage and Retrieval Hospitals Big Data Humans Artificial Intelligence
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Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study.

Journal of clinical monitoring and computing May 13, 2023
Capnography monitors trigger high priority 'no breath' alarms when CO measurements do not exceed a given threshold over a specified time-period. False alarms occur when the underlying breathing pattern is stable, but the alarm is triggered when the C...
Deep Learning Carbon Dioxide Respiration Humans Hospitals Capnography
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The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes.

Resuscitation May 5, 2023
BACKGROUND: Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital signs. We evaluated inpatient outcomes after implementing an Artificial Intelligence (AI) based intervention in our local EWS.
Hospital Mortality Australia Female Artificial Intelligence Humans Male Hospitalization Aged Machine Learning Hospitals
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Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Federated learning (FL) is a privacy preserving approach to learning that overcome issues related to data access, privacy, and security, which represent key challenges in the healthcare sector. FL enables hospitals to collaboratively learn a shared p...
Hemodynamics Deep Learning Privacy Databases, Factual Humans Hospitals Machine Learning
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Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review.

Artificial intelligence in medicine Apr 25, 2023
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) constitute a significant challenge harming thousands of people worldwide yearly. While various tools and methods are used to identify pressure injuries, artificial intelligence (AI) and decision...
Pressure Ulcer Retrospective Studies Risk Factors Hospitals Humans Artificial Intelligence
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[Robotic production of injectable anticancer drugs in hospital pharmacies].

Bulletin du cancer Apr 25, 2023
INTRODUCTION: Following the 2005 decree on securing the medicine supply chain, the production of "chemotherapies", anticancer drugs (cytotoxic, cytostatic, immunotherapy), was centralised within hospital pharmacies. To cope with increasingly growing ...
Robotics Pharmacies Antineoplastic Agents Hospitals Humans
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Using artificial intelligence to reduce orthopedic surgical site infection surveillance workload: Algorithm design, validation, and implementation in 4 Spanish hospitals.

American journal of infection control Apr 24, 2023
BACKGROUND: Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We present the design and validation of an algorithm for SSI detection after hip replacement surgery, and a report of its successful implementation in 4 public hosp...
Artificial Intelligence Algorithms Arthroplasty, Replacement, Hip Humans Epidemiological Monitoring Male Aged, 80 and over Middle Aged Surgical Wound Infection Hospitals Sensitivity and Specificity Spain Female Aged
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Artificial Intelligence in Point-of-Care Testing.

Annals of laboratory medicine Apr 21, 2023
With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability o...
Hospitals Point-of-Care Testing Microscopy Humans Artificial Intelligence
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Lumbar spine segmentation method based on deep learning.

Journal of applied clinical medical physics Apr 20, 2023
Aiming at the difficulties of lumbar vertebrae segmentation in computed tomography (CT) images, we propose an automatic lumbar vertebrae segmentation method based on deep learning. The method mainly includes two parts: lumbar vertebra positioning and...
Humans Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Spine Hospitals Lumbar Vertebrae Deep Learning
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A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.

Sensors (Basel, Switzerland) Mar 27, 2023
Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care...
Deep Learning Humans Stroke Artificial Intelligence Feedback Hospitals
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