AIMC Topic: Research Design

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MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress.

IEEE transactions on neural networks and learning systems
Mental stress is an increasingly common psychological issue leading to diseases such as depression, addiction, and heart attack. In this study, an early detection framework based on electroencephalogram (EEG) data is developed for reducing the risk o...

Use of deep learning to segment bolus during videofluoroscopic swallow studies.

Biomedical physics & engineering express
Anatomical segmentations generated using artificial intelligence (AI) have the potential to significantly improve video fluoroscopic swallow study (VFS) analysis. AI segments allow for various metrics to be determined without additional time constrai...

Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation.

PloS one
A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a m...

Facilitators and barriers to using AI-enabled robots with older adults in long-term care from staff perspective: a scoping review protocol.

BMJ open
INTRODUCTION: Assistive and service robots have been increasingly designed and deployed in long-term care (LTC) but little evidence guides their use. This scoping review synthesises existing studies on facilitators and barriers to using artificial in...

AI's deep dive into complex pediatric inguinal hernia issues: a challenge to traditional guidelines?

Hernia : the journal of hernias and abdominal wall surgery
OBJECTIVE: This study utilized ChatGPT, an artificial intelligence program based on large language models, to explore controversial issues in pediatric inguinal hernia surgery and compare its responses with the guidelines of the European Association ...

Measurement scales of mental health related to climate change: a scoping review protocol using artificial intelligence.

BMJ open
INTRODUCTION: Human actions have influenced climate changes around the globe, causing extreme weather phenomena and impacting communities worldwide. Climate change has caused, directly or indirectly, health effects such as injury and physical injurie...

Multi-level perception fusion dehazing network.

PloS one
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction...

Automatic classification and prioritisation of actionable BI-RADS categories using natural language processing models.

Clinical radiology
AIM: To facilitate the routine tasks performed by radiologists in their evaluation of breast radiology reports, by enhancing the communication of relevant results to referring physicians via a natural language processing (NLP)-based system to classif...

Computational and systems neuroscience: The next 20 years.

PLoS biology
Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models.

Greater agreement is required to harness the potential of health intelligence: a critical interpretive synthesis.

Journal of clinical epidemiology
OBJECTIVES: To synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps.