AIMC Topic: Humans

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A Fuzzy Neural Network-Based Evaluation Method for Physical Education Teaching Management in Colleges.

Computational intelligence and neuroscience
A novel Fuzzy Neural Network (FNN) teaching quality assessment model of physical education (PE) is presented at colleges and universities to enhance the validity of PE teaching quality evaluation. It is being done to enhance the accuracy of quality e...

Multimodal false information detection method based on Text-CNN and SE module.

PloS one
False information detection can detect false information in social media and reduce its negative impact on society. With the development of multimedia, the multimodal content contained in false information is increasing, so it is important to use mul...

An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.

Journal of developmental and behavioral pediatrics : JDBP
Technological breakthroughs, together with the rapid growth of medical information and improved data connectivity, are creating dramatic shifts in the health care landscape, including the field of developmental and behavioral pediatrics. While medica...

Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of aged and impaired people including dementia and Parkinson's disease. We...

Transfer of open and laparoscopic skills to robotic surgery: a systematic review.

Journal of robotic surgery
Due to its advantages over open surgery and conventional laparoscopy, uptake of robot-assisted surgery has rapidly increased. It is important to know whether the existing open or laparoscopic skills of robotic novices shorten the robotic surgery lear...

Computed Tomography of the Spine : Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.

Clinical neuroradiology
The introduction of the first whole-body CT scanner in 1974 marked the beginning of cross-sectional spine imaging. In the last decades, the technological advancement, increasing availability and clinical success of CT led to a rapidly growing number ...

Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications.

Journal of digital imaging
Radiologists today play a central role in making diagnostic decisions and labeling images for training and benchmarking artificial intelligence (AI) algorithms. A key concern is low inter-reader reliability (IRR) seen between experts when interpretin...

Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.

The Journal of surgical research
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carries importance throughout a physician's career. Practice-Based Learning and Improvement is cultivated...

Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.

Cancer
BACKGROUND: Sarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning-based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diag...

Validation of a surgical workspace scale during robot-assisted surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: A sufficient surgical workspace is crucial to avoid complications. Within classic laparoscopy, many subjective surgical rating scales (SRSs) have previously been used to evaluate the surgical workspace. This study aimed to validate a modi...