AIMC Topic: Workflow

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Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review.

Advances in wound care Dec 20, 2021
Accurately predicting wound healing trajectories is difficult for wound care clinicians due to the complex and dynamic processes involved in wound healing. Wound care teams capture images of wounds during clinical visits generating big datasets over...
Electronic Health Records Image Processing, Computer-Assisted Workflow Humans Artificial Intelligence
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Mitigating Cold Start Problem in Serverless Computing with Function Fusion.

Sensors (Basel, Switzerland) Dec 16, 2021
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, ...
Workflow Artificial Intelligence Software
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Automation of a Rule-based Workflow to Estimate Age from Brain MR Imaging of Infants and Children Up to 2 Years Old Using Stacked Deep Learning.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Dec 10, 2021
PURPOSE: Myelination-related MR signal changes in white matter are helpful for assessing normal development in infants and children. A rule-based myelination evaluation workflow regarding signal changes on T1-weighted images (T1WIs) and T2-weighted i...
Workflow Automation Child Magnetic Resonance Imaging Infant Humans Brain Deep Learning
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DI++: A deep learning system for patient condition identification in clinical notes.

Artificial intelligence in medicine Dec 2, 2021
Accurately recording a patient's medical conditions in an EHR system is the basis of effectively documenting patient health status, coding for billing, and supporting data-driven clinical decision making. However, patient conditions are often not ful...
Electronic Health Records Clinical Decision-Making Deep Learning Humans Natural Language Processing Workflow
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Manipulating cellular microRNAs and analyzing high-dimensional gene expression data using machine learning workflows.

STAR protocols Oct 23, 2021
MicroRNAs (miRNAs) are elements of the gene regulatory network and manipulating their abundance is essential toward elucidating their role in patho-physiological conditions. We present a detailed workflow that identifies important miRNAs using a mach...
Gene Knockdown Techniques Islets of Langerhans Humans Workflow Cells, Cultured Cell Culture Techniques Gene Expression Profiling Machine Learning Gene Regulatory Networks Transcriptome Algorithms MicroRNAs
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AI Integration in the Clinical Workflow.

Journal of digital imaging Oct 22, 2021
Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing important clinical needs when applied to medical imaging; however, integration of algorithms into a radiology department is challenging. Vended algor...
Artificial Intelligence Algorithms Humans Workflow Radiology Radiologists
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An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.

Reproductive biomedicine online Oct 20, 2021
RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monitoring during ovarian stimulation to a single day and enable level-loading of retrievals?
Oocyte Retrieval Estradiol Pregnancy Oocytes Pregnancy Rate Humans Fertilization in Vitro Female Ovulation Induction Artificial Intelligence Workflow
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Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.

Magnetic resonance in medicine Oct 20, 2021
PURPOSE: Clinical applicability of renal arterial spin labeling (ASL) MRI is hampered because of time consuming and observer dependent post-processing, including manual segmentation of the cortex to obtain cortical renal blood flow (RBF). Machine lea...
Workflow Perfusion Kidney Magnetic Resonance Imaging Humans Machine Learning
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Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Radiology Oct 19, 2021
Background Advances in computer processing and improvements in data availability have led to the development of machine learning (ML) techniques for mammographic imaging. Purpose To evaluate the reported performance of stand-alone ML applications for...
Mammography Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms Workflow Machine Learning Female Humans
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Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets.

International journal of environmental research and public health Oct 14, 2021
With the development of information and technology, especially with the boom in big data, healthcare support systems are becoming much better. Patient data can be collected, retrieved, and stored in real time. These data are valuable and meaningful f...
Machine Learning Delivery of Health Care Workflow Reproducibility of Results Humans Benchmarking
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