AIMC Topic: Radiology

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A No-Math Primer on the Principles of Machine Learning for Radiologists.

Seminars in ultrasound, CT, and MR
Machine learning is becoming increasingly important in both research and clinical applications in radiology due to recent technological developments, particularly in deep learning. As these technologies are translated toward clinical practice, there ...

Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.

AJR. American journal of roentgenology
Proponents of artificial intelligence (AI) technology have suggested that in the near future, AI software may replace human radiologists. Although assimilation of AI into the specialty has occurred more slowly than predicted, developments in machine ...

Clinical language search algorithm from free-text: facilitating appropriate imaging.

BMC medical imaging
BACKGROUND: The comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource for evidence-based clinical imaging decision support, but it is underutilized by clinicians. To faci...

Rapid disinfection of radiology treatment rooms using an autonomous ultraviolet germicidal irradiation robot.

American journal of infection control
BACKGROUND: Ultraviolet germicidal irradiation (UVGI) technologies have emerged as a promising adjunct to manual cleaning, however, their potential to shorten cleaning times remains unexplored.

Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing.

European radiology
OBJECTIVES: To develop and validate classifiers for automatic detection of actionable findings and documentation of nonroutine communication in routinely delivered radiology reports.

Attention based automated radiology report generation using CNN and LSTM.

PloS one
The automated generation of radiology reports provides X-rays and has tremendous potential to enhance the clinical diagnosis of diseases in patients. A new research direction is gaining increasing attention that involves the use of hybrid approaches ...

Social Asymmetry, Artificial Intelligence and the Medical Imaging Landscape.

Seminars in nuclear medicine
Social and health care equity and justice should be prioritized by the mantra of medicine, first do no harm. Despite highly motivated national and global health strategies, there remains significant health care inequity. Intrinsic and extrinsic facto...

The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging.

Pediatric radiology
Artificial intelligence (AI) offers the potential to change many aspects of paediatric cardiac imaging. At present, there are only a few clinically validated examples of AI applications in this field. This review focuses on the use of AI in paediatri...

Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility Study.

Academic radiology
RATIONAL AND OBJECTIVES: This study investigated how an AI tool impacted radiologists reading time for non-contrast chest CT exams.

Automatic Forecasting of Radiology Examination Volume Trends for Optimal Resource Planning and Allocation.

Journal of digital imaging
The aim of the study was to evaluate the performance of the Prophet forecasting procedure, part of the Facebook open-source Artificial Intelligence portfolio, for forecasting variations in radiological examination volumes. Daily CT and MRI examinatio...