AIMC Topic: Humans

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A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies.

Scientific reports
Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologist. Deep Learning (DL) systems have shown promise in enhancing the objectivity and efficiency of Glea...

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol.

BMJ open
INTRODUCTION: This paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK. The command centre represents a complex intervention within a comple...

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.

Journal of medical Internet research
BACKGROUND: Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a ...

Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning.

Computational and mathematical methods in medicine
Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what the subjec...

Research on Human Behavior Modeling of Sports Culture Communication in Industrial 4.0 Intelligent Management.

Computational intelligence and neuroscience
With the advent of the information age, Internet technology and computer technology are gradually applied in various fields. Human daily life is inseparable from the help of information technology. The progress and development of the times are also c...

Visual attention prediction improves performance of autonomous drone racing agents.

PloS one
Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be related to the ability of human pilots to select task-relevant visual information effectively. This work investigates whether neural networks capable...

Accuracy and Security Analysis of a Cranio-Maxillofacial Plastic Surgery Robot Equipped With Piezosurgery in Genioplasty.

The Journal of craniofacial surgery
This study aims to verify that the craniofacial plastic surgery robot with piezosurgery is more accurate and safer than traditional operations in genioplasty. This study chose data from the Digital Plastic Surgery of Plastic Surgery Hospital in the C...

Automatic detection of passing and shooting in water polo using machine learning: a feasibility study.

Sports biomechanics
There is currently no efficient way to quantify overhead throwing volume in water polo. Therefore, this study aimed to test the feasibility of a method to detect passes and shots in water polo automatically using inertial measurement units (IMU) and ...

Designing a Contact Fingertip Sensor Made Using a Soft 3D Printing Technique.

Soft robotics
The development of highly compliant materials and actuators has enabled the design of soft robots that can be applied in rescue operations, in secure human-robot interactions, to manipulate fragile devices or objects, and for robot locomotion within ...