AIMC Topic: Workflow

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User-centred design for machine learning in health care: a case study from care management.

BMJ health & care informatics Oct 1, 2022
OBJECTIVES: Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical p...
User-Centered Design Workflow Pain Machine Learning Delivery of Health Care Humans
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Ethical Aspects of Artificial Intelligence in Radiation Oncology.

Seminars in radiation oncology Oct 1, 2022
Radiation oncology is a field that heavily relies on new technology. Data science and artificial intelligence will have an important role in the entire radiotherapy workflow. A new paradigm of routine healthcare data reuse to automate treatments and ...
Humans Radiation Oncology Workflow Artificial Intelligence Delivery of Health Care
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Automated workflow for computation of redox potentials, acidity constants, and solvation free energies accelerated by machine learning.

The Journal of chemical physics Jul 14, 2022
Fast evolution of modern society stimulates intense development of new materials with novel functionalities in energy and environmental applications. Due to rapid progress of computer science, computational design of materials with target properties ...
Thermodynamics Workflow Molecular Dynamics Simulation Machine Learning Oxidation-Reduction
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An approachable, flexible and practical machine learning workshop for biologists.

Bioinformatics (Oxford, England) Jun 24, 2022
SUMMARY: The increasing prevalence and importance of machine learning in biological research have created a need for machine learning training resources tailored towards biological researchers. However, existing resources are often inaccessible, infe...
Software Workflow Humans Machine Learning
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[Digital pathology].

Ugeskrift for laeger Jun 20, 2022
Digitalisation of pathology slides allows pathologists to make diagnoses using a high-resolution computer screen instead of a conventional microscope. In 2020/21, the four pathology departments in the Region of Southern Denmark implemented digital pa...
Microscopy Image Interpretation, Computer-Assisted Artificial Intelligence Workflow Humans
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Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics Jun 6, 2022
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...
Humans Language Workflow Data Collection Speech Natural Language Processing
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The User Experience of AI.

Med (New York, N.Y.) Apr 8, 2022
The promise of artificial intelligence (AI) and machine learning in healthcare can be realized only when they are smoothly integrated into existing clinical workflows. Doing so requires optimizing the user experience of AI and the data on which these...
Machine Learning Delivery of Health Care Workflow Humans Health Facilities Artificial Intelligence
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Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture.

Clinical chemistry Mar 31, 2022
BACKGROUND: Urine culture images collected using bacteriology automation are currently interpreted by technologists during routine standard-of-care workflows. Machine learning may be able to improve the harmonization of and assist with these interpre...
Humans Neural Networks, Computer Machine Learning Area Under Curve Workflow Automation
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Accelerating the discovery of antifungal peptides using deep temporal convolutional networks.

Briefings in bioinformatics Mar 10, 2022
The application of machine intelligence in biological sciences has led to the development of several automated tools, thus enabling rapid drug discovery. Adding to this development is the ongoing COVID-19 pandemic, due to which researchers working in...
Workflow Antimicrobial Peptides Software ROC Curve Algorithms Antifungal Agents Humans Neural Networks, Computer Databases, Factual Drug Discovery Artificial Intelligence Reproducibility of Results Deep Learning
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DeepKG: an end-to-end deep learning-based workflow for biomedical knowledge graph extraction, optimization and applications.

Bioinformatics (Oxford, England) Feb 7, 2022
SUMMARY: DeepKG is an end-to-end deep learning-based workflow that helps researchers automatically mine valuable knowledge in biomedical literature. Users can utilize it to establish customized knowledge graphs in specified domains, thus facilitating...
Deep Learning Algorithms COVID-19 Workflow Animals Pattern Recognition, Automated
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