AIMC Topic: Artificial Intelligence

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Contactless monitoring of human respiration using infrared thermography and deep learning.

Physiological measurement
. To monitor the human respiration rate (RR) using infrared thermography (IRT) and artificial intelligence, in a completely contactless, automated, and non-invasive manner.. The human breathing signals (BS) were obtained using IRT, by plotting the ch...

A comparative study of regulatory perspectives on innovative medical devices in Korea and the United States.

Expert review of medical devices
INTRODUCTION: As the 4th Industrial Revolution era emerges, medical devices that apply technologies such as big data, artificial intelligence, and 3D printers are on the rise. In April 2019, Korea introduced the Act on Nurturing Medical Devices Indus...

Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network.

Computational intelligence and neuroscience
In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job ...

Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

Journal of periodontology
BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-driven measurements of quantitative indexes depend on segmentation or landmark dete...

The role of MRI in prostate cancer: current and future directions.

Magma (New York, N.Y.)
There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate cancer. MRI already plays an essential role in the detection and staging, with the introduction of functional MRI sequences. Recent advancements in ra...

Development of cluster analysis methodology for identification of model rainfall hyetographs and its application at an urban precipitation field scale.

The Science of the total environment
Despite growing access to precipitation time series records at a high temporal scale, in hydrology, and particularly urban hydrology, engineers still design and model drainage systems using scenarios of rainfall temporal distributions predefined by m...

Leveraging artificial intelligence to improve people's planning strategies.

Proceedings of the National Academy of Sciences of the United States of America
SignificanceMany bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people...

The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.

Proceedings of the National Academy of Sciences of the United States of America
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffer from instability, even when universal approximation properties guarantee the existence of stable n...

A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.

BMC medical imaging
BACKGROUND: Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology is usual...

Artificial intelligence based deconvolving on megavoltage photon beam profiles for radiotherapy applications.

Physics in medicine and biology
. The aim of this work is an AI based approach to reduce the volume effect of ionization chambers used to measure high energy photon beams in radiotherapy. In particular for profile measurements, the air-filled volume leads to an inaccurate measureme...