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Automation

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Shaping the development and use of Artificial Intelligence: how human factors and ergonomics expertise can become more pertinent.

Ergonomics
New developments in Artificial Intelligence (AI) are extensively discussed in public media and scholarly publications. While in many academic disciplines debates on the challenges and opportunities of Artificial Intelligence (AI) and how to best addr...

Responsible use of AI in military systems: prospects and challenges.

Ergonomics
Artificial Intelligence (AI) holds great potential for the military domain but is also seen as prone to data bias and lacking transparency and explainability. In order to advance the trustworthiness of AI-enabled systems, a dynamic approach to the de...

Sharing Patient Praises With Radiology Staff: Workflow Automation and Impact on Staff.

Journal of the American College of Radiology : JACR
OBJECTIVE: This study aims to develop and evaluate a semi-automated workflow using natural language processing (NLP) for sharing positive patient feedback with radiology staff, assessing its efficiency and impact on radiology staff morale.

Automation in Contemporary Clinical Information Systems: a Survey of AI in Healthcare Settings.

Yearbook of medical informatics
AIMS AND OBJECTIVES: To examine the nature and use of automation in contemporary clinical information systems by reviewing studies reporting the implementation and evaluation of artificial intelligence (AI) technologies in healthcare settings.

Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management.

Journal of integrative bioinformatics
Applications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The se...

Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review.

Cancer epidemiology
To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based automation tools in comparison with human reviewers in medical literature screening for systematic reviews (SR) of primary studies in cancer research in o...

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.

BMC medical imaging
PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume determination is time-consuming and prone to errors. Recent advances in its automation are promising but mos...

Artificial Intelligence: From Buzzword to Useful Tool in Clinical Pharmacology.

Clinical pharmacology and therapeutics
The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to the dawning of a new era. Previously dismissed as merely technological hype, these approaches have emerged as promising tools in different domains, in...

Enabling AI in synthetic biology through Construction File specification.

PloS one
The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects...

Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance.

Drug safety
INTRODUCTION: As part of routine safety surveillance, thousands of articles of potential interest are manually triaged for review by safety surveillance teams. This manual triage task is an interesting candidate for automation based on the abundance ...