AIMC Topic: Workflow

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A review of machine learning applications for the proton MR spectroscopy workflow.

Magnetic resonance in medicine Jul 4, 2023
This literature review presents a comprehensive overview of machine learning (ML) applications in proton MR spectroscopy (MRS). As the use of ML techniques in MRS continues to grow, this review aims to provide the MRS community with a structured over...
Machine Learning Proton Magnetic Resonance Spectroscopy Protons Workflow Magnetic Resonance Spectroscopy
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Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows.

Sensors (Basel, Switzerland) Jun 10, 2023
Scientific computing heavily relies on data shared by the community, especially in distributed data-intensive applications. This research focuses on predicting slow connections that create bottlenecks in distributed workflows. In this study, we analy...
Machine Learning Workflow
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SAr Regioselectivity Predictions: Machine Learning Triggering DFT Reaction Modeling through Statistical Threshold.

Journal of chemical information and modeling Jun 5, 2023
Fast and accurate prospective predictions of regioselectivity can significantly reduce the time and resources spent on unproductive transformations in the pharmaceutical industry. Density functional theory (DFT) reaction modeling through transition s...
Drug Industry Density Functional Theory Workflow Machine Learning Prospective Studies
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How to use AI in pathology.

Genes, chromosomes & cancer May 31, 2023
AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still ...
Humans Workflow Pathology Artificial Intelligence
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Applied machine learning in hematopathology.

International journal of laboratory hematology May 31, 2023
An increasing number of machine learning applications are being developed and applied to digital pathology, including hematopathology. The goal of these modern computerized tools is often to support diagnostic workflows by extracting and summarizing ...
Humans Machine Learning Pathologists Algorithms Workflow
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Evaluation of a deep learning-enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias.

The Journal of physiology Apr 24, 2023
Personalized, image-based computational heart modelling is a powerful technology that can be used to improve patient-specific arrhythmia risk stratification and ventricular tachycardia (VT) ablation targeting. However, most state-of-the-art methods s...
Humans Tomography, X-Ray Computed Female Workflow Tachycardia, Ventricular Models, Cardiovascular Middle Aged Deep Learning Aged Male
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A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer.

Scientific data Apr 21, 2023
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to the privacy protection and excessive anno...
Semantics Workflow Privacy Image Processing, Computer-Assisted Breast Neoplasms Deep Learning Humans Female
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Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies.

Clinical imaging Apr 8, 2023
The goal of this study was to perform a pilot study to assess user-interface of radiologists with an artificial-intelligence (AI) centric workflow for detection of intracranial hemorrhage (ICH) and cervical spine fractures (CSFX). Over 12-month perio...
Workflow Spinal Fractures Emergencies Pilot Projects Humans Artificial Intelligence Software
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Blinded, randomized trial of sonographer versus AI cardiac function assessment.

Nature Apr 5, 2023
Artificial intelligence (AI) has been developed for echocardiography, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no o...
Heart Function Tests Cardiologists Stroke Volume Echocardiography Single-Blind Method Workflow Reproducibility of Results Ventricular Function, Left Artificial Intelligence Humans
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Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond.

Seminars in roentgenology Mar 23, 2023
There are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve qual...
Workflow Artificial Intelligence Radiology Humans
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