AIMC Topic: Humans

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Machine Learning in Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
This article is the second part in our machine learning series. Part 1 provided a general overview of machine learning in nuclear medicine. Part 2 focuses on neural networks. We start with an example illustrating how neural networks work and a discus...

When Does Physician Use of AI Increase Liability?

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
An increasing number of automated and artificial intelligence (AI) systems make medical treatment recommendations, including personalized recommendations, which can deviate from standard care. Legal scholars argue that following such nonstandard trea...

Multi-modal infusion pump real-time monitoring technique for improvement in safety of intravenous-administration patients.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Intravenous (IV) medication administration processes have been considered as high-risk steps, because accidents during IV administration can lead to serious adverse effects, which can deteriorate the therapeutic effect or threaten the patient's life....

Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...

High-performance rapid MR parameter mapping using model-based deep adversarial learning.

Magnetic resonance imaging
PURPOSE: To develop and evaluate a deep adversarial learning-based image reconstruction approach for rapid and efficient MR parameter mapping.

Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm.

European journal of radiology
PURPOSE: To develop and evaluate an automatic measurement model for hip joints based on anteroposterior (AP) pelvic radiography and a deep learning algorithm.

Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction.

Journal of biomedical informatics
OBJECTIVE: To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from multivariate time series data in patient insurance claims using a convolutional neural network (CN...

Deep learning of immune cell differentiation.

Proceedings of the National Academy of Sciences of the United States of America
Although we know many sequence-specific transcription factors (TFs), how the DNA sequence of cis-regulatory elements is decoded and orchestrated on the genome scale to determine immune cell differentiation is beyond our grasp. Leveraging a granular a...