AIMC Topic: Humans

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Unsupervised Gait Phase Estimation With Domain-Adversarial Neural Network and Adaptive Window.

IEEE journal of biomedical and health informatics
The performanceof previous machine learning models for gait phase is only satisfactory under limited conditions. First, they produce accurate estimations only when the ground truth of the gait phase (of the target subject) is known. In contrast, when...

Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network.

Computational intelligence and neuroscience
With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed...

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach.

Computational and mathematical methods in medicine
Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most important tasks for neurologists and radiologists is to detect brain tumors early. Recent claims have been made that computer-aided diagnosis-based systems can ...

Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning.

Computational and mathematical methods in medicine
In my country, vocational training is an important part of the educational system. In my country's vocational education system, there is currently a conscious focus on reform and innovation. It is critical to undertake a thorough assessment of teachi...

Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions.

Journal of cancer research and clinical oncology
PURPOSE: To investigate the value of the combined diagnosis of multiparametric MRI-based deep learning models to differentiate triple-negative breast cancer (TNBC) from fibroadenoma magnetic resonance Breast Imaging-Reporting and Data System category...

[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review].

Pflege
The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review Intensive care patients are often subjected to immobility for too long. However, when they are mobilized early, positive effects on patient...

Consensus-led recommendations defining practical principles of achieving optimal surgical outcomes in robotic colorectal surgery in the Asia-Pacific region.

Journal of robotic surgery
Recent innovations within the field of robotic surgery have particular relevance to colorectal surgery. Although a robotic approach has been associated with satisfactory outcomes, there remains a wide variation in levels of adoption. In particular, t...

Deep Learning for FAST Quality Assessment.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To determine the feasibility of using a deep learning (DL) algorithm to assess the quality of focused assessment with sonography in trauma (FAST) exams.

Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis.

Clinical chemistry and laboratory medicine
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, language recognition, image recognition, natural language processing, and expert systems. AI is poised to change medical practice, and oncology is not an...

Deep Learning-Based Prediction of the 3D Postorthodontic Facial Changes.

Journal of dental research
With the increase of the adult orthodontic population, there is a need for an accurate and evidence-based prediction of the posttreatment face in 3 dimensions (3D). The objectives of this study are 1) to develop a 3D postorthodontic face prediction m...