AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data.

Accident; analysis and prevention
Providing drivers with real-time weather information and driving assistance during adverse weather, including fog, is crucial for safe driving. The primary focus of this study was to develop an affordable in-vehicle fog detection method, which will p...

Diagnosing Parkinson Disease Through Facial Expression Recognition: Video Analysis.

Journal of medical Internet research
BACKGROUND: The number of patients with neurological diseases is currently increasing annually, which presents tremendous challenges for both patients and doctors. With the advent of advanced information technology, digital medical care is gradually ...

AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review.

Sensors (Basel, Switzerland)
General movements (GMs) are spontaneous movements of infants up to five months post-term involving the whole body varying in sequence, speed, and amplitude. The assessment of GMs has shown its importance for identifying infants at risk for neuromotor...

Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.

Sensors (Basel, Switzerland)
UNLABELLED: Background and motivation: Every year, millions of Muslims worldwide come to Mecca to perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has installed about 5000 closed circuit television (CCTV) came...

Employing automatic content recognition for teaching methodology analysis in classroom videos.

PloS one
A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a si...

Process-Driven Modelling of Media Forensic Investigations-Considerations on the Example of DeepFake Detection.

Sensors (Basel, Switzerland)
Academic research in media forensics mainly focuses on methods for the detection of the traces or artefacts left by media manipulations in media objects. While the resulting detectors often achieve quite impressive detection performances, when tested...

MLWAN: Multi-Scale Learning Wavelet Attention Module Network for Image Super Resolution.

Sensors (Basel, Switzerland)
Image super resolution (SR) is an important image processing technique in computer vision to improve the resolution of images and videos. In recent years, deep convolutional neural network (CNN) has made significant progress in the field of image SR;...

Development of convolutional neural network models that recognize normal anatomic structures during real-time radial-array and linear-array EUS (with videos).

Gastrointestinal endoscopy
BACKGROUND AND AIMS: EUS is a high-skill technique that requires numerous procedures to achieve competence. However, training facilities are limited worldwide. Convolutional neural network (CNN) models have been previously implemented for object dete...

Cow detection and tracking system utilizing multi-feature tracking algorithm.

Scientific reports
In modern cattle farm management systems, video-based monitoring has become important in analyzing the high-level behavior of cattle for monitoring their health and predicting calving for providing timely assistance. Conventionally, sensors have been...

Intelligent Detection Method for Wildlife Based on Deep Learning.

Sensors (Basel, Switzerland)
Wildlife is an important part of natural ecosystems and protecting wildlife plays a crucial role in maintaining ecological balance. The wildlife detection method for images and videos based on deep learning can save a lot of labor costs and is of gre...