AIMC Topic: Automation
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Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.
Cerebrovascular diseases extra
Mar 17, 2025
INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-bas...
Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.
Annals of nuclear medicine
Mar 16, 2025
OBJECTIVE: To provide fully automatic scanner-independent 5-level categorization of the [I]FP-CIT uptake in striatal subregions in dopamine transporter SPECT.
Employing Automated Machine Learning (AutoML) Methods to Facilitate the ADMET Properties Prediction.
Journal of chemical information and modeling
Mar 14, 2025
The rationale for using ADMET prediction tools in the early drug discovery paradigm is to guide the design of new compounds with favorable ADMET properties and ultimately minimize the attrition rates of drug failures. Artificial intelligence (AI) in ...
Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer.
Journal of translational medicine
Mar 10, 2025
BACKGROUND: The presence of tumour-infiltrating lymphocytes (TILs) is a well-established prognostic biomarker across multiple cancer types, with higher TIL counts being associated with lower recurrence rates and improved patient survival. We aimed to...
Artificial intelligence driven plaque characterization and functional assessment from CCTA using OCT-based automation: A prospective study.
International journal of cardiology
Mar 9, 2025
BACKGROUND: We aimed to develop and validate an Artificial Intelligence (AI) model that leverages CCTA and optical coherence tomography (OCT) images for automated analysis of plaque characteristics and coronary function.
Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach.
JMIR medical informatics
Mar 7, 2025
BACKGROUND: Electronic medical records (EMRs) have undergone significant changes due to advancements in technology, including artificial intelligence, the Internet of Things, and cloud services. The increasing complexity within health care systems ne...
Reducing food waste in the HORECA sector using AI-based waste-tracking devices.
Waste management (New York, N.Y.)
Mar 1, 2025
This study assesses the effectiveness of an intervention employing an AI-based, fully automatic waste-tracking system for food waste reduction in HORECA establishments. Waste-tracking devices were installed in a restaurant within a holiday resort and...
Construction of an Automated Removal Robot for the Natural Drying of Cacao Beans.
Sensors (Basel, Switzerland)
Feb 28, 2025
Cacao producers often obtain low-quality beans due to the poor manual drying process. This study proposes the construction of an automated prototype robot for the removal during natural drying of cacao beans at Cooperativa Agraria Allima Cacao Ltd., ...
Advancing regenerative medicine: the Aceman system's pioneering automation and machine learning in mesenchymal stem cell biofabrication.
Biofabrication
Feb 27, 2025
Mesenchymal stem cells (MSCs) are pivotal in advancing regenerative medicine; however, the large-scale production of MSCs for clinical applications faces significant challenges related to efficiency, cost, and quality assurance. We introduce the Auto...
Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Coronary Artery Disease
Prosthesis Design
Stents
Automation
Coronary Vessels
Image Interpretation, Computer-Assisted
Observer Variation
Predictive Value of Tests
Ultrasonography, Interventional
Percutaneous Coronary Intervention
Middle Aged
Severity of Illness Index
Treatment Outcome
Female
Humans
Aged
Reproducibility of Results
Machine Learning
Male
Retrospective Studies
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