AIMC Topic: Workflow
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Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
Scientific reports
Aug 11, 2022
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer with external beam radiation therapy (EBRT) and brachytherapy (BT). The purpose of this study was to evaluate the accuracy of EBRT planning structures de...
Application of Deep Learning Workflow for Autonomous Grain Size Analysis.
Molecules (Basel, Switzerland)
Jul 28, 2022
Traditional grain size determination in materials characterization involves microscopy images and a laborious process requiring significant manual input and human expertise. In recent years, the development of computer vision (CV) has provided an alt...
Multiplexed high-throughput localized electroporation workflow with deep learning-based analysis for cell engineering.
Science advances
Jul 22, 2022
Manipulation of cells for applications such as biomanufacturing and cell-based therapeutics involves introducing biomolecular cargoes into cells. However, successful delivery is a function of multiple experimental factors requiring several rounds of ...
Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks.
PloS one
Jul 21, 2022
BACKGROUND: Approaching epidemiological data with flexible machine learning algorithms is of great value for understanding disease-specific association patterns. However, it can be difficult to correctly extract and understand those patterns due to t...
Generalising from conventional pipelines using deep learning in high-throughput screening workflows.
Scientific reports
Jul 6, 2022
The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of the results relies on the accuracy of the ...
Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.
Biopreservation and biobanking
Jun 30, 2022
Studies on the ethics of automating clinical or research decision making using artificial intelligence and other algorithmic tools abound. Less attention has been paid, however, to the scope for, and ethics of, automating decision making within regul...
Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.
Diagnostic and interventional imaging
Jun 29, 2022
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.
Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow.
Operative neurosurgery (Hagerstown, Md.)
Jun 14, 2022
BACKGROUND: A number of stereotactic platforms are available for performing deep brain stimulation (DBS) lead implantation. Robot-assisted stereotaxy has emerged more recently demonstrating comparable accuracy and shorter operating room times compare...
High-throughput whole-slide scanning to enable large-scale data repository building.
The Journal of pathology
Jun 8, 2022
Digital pathology and artificial intelligence (AI) rely on digitization of patient material as a necessary first step. AI development benefits from large sample sizes and diverse cohorts, and therefore efforts to digitize glass slides must meet these...
Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.
Clinical imaging
May 30, 2022
The value of artificial intelligence (AI) in healthcare has become evident, especially in the field of medical imaging. The accelerated pace and acuity of care in the Emergency Department (ED) has made it a popular target for artificial intelligence-...
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