AIMC Topic: Workflow
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Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.
Journal of breast imaging
May 22, 2023
OBJECTIVE: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice.
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO).
JCO clinical cancer informatics
May 1, 2023
PURPOSE: Efforts to use growing volumes of clinical imaging data to generate tumor evaluations continue to require significant manual data wrangling, owing to data heterogeneity. Here, we propose an artificial intelligence-based solution for the aggr...
Addressing the Challenges of Implementing Artificial Intelligence Tools in Clinical Practice: Principles From Experience.
Journal of the American College of Radiology : JACR
Mar 1, 2023
The multitude of artificial intelligence (AI)-based solutions, vendors, and platforms poses a challenging proposition to an already complex clinical radiology practice. Apart from assessing and ensuring acceptable local performance and workflow fit t...
Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging Workflows.
Radiographics : a review publication of the Radiological Society of North America, Inc
Mar 1, 2023
From basic research to the bedside, precise terminology is key to advancing medicine and ensuring optimal and appropriate patient care. However, the wide spectrum of diseases and their manifestations superimposed on medical team-specific and discipli...
How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study.
Journal of the American Medical Informatics Association : JAMIA
Feb 16, 2023
OBJECTIVE: There is increasing interest in using artificial intelligence (AI) in pathology to improve accuracy and efficiency. Studies of clinicians' perceptions of AI have found only moderate acceptability, suggesting further research is needed rega...
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.
Briefings in bioinformatics
Jan 19, 2023
Recent developments of deep learning methods have demonstrated their feasibility in liver malignancy diagnosis using ultrasound (US) images. However, most of these methods require manual selection and annotation of US images by radiologists, which li...
The role of artificial intelligence in clinical imaging and workflows.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Dec 1, 2022
Evidence-based medicine, outcomes management, and multidisciplinary systems are laying the foundation for radiology on the cusp of a new day. Environmental and operational forces coupled with technological advancements are redefining the veterinary r...
Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep-learning-based analysis.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Dec 1, 2022
OBJECTIVE: Despite decades of obstetric scanning, the field of sonographer workflow remains largely unexplored. In the second trimester, sonographers use scan guidelines to guide their acquisition of standard planes and structures; however, the scan-...
Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.
JCO global oncology
Nov 1, 2022
The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require me...
Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.
Database : the journal of biological databases and curation
Oct 8, 2022
Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking and dependency management. To manage these processes, a diverse set of tools i...
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