AIMC Topic: Humans

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Acceptance of social assistant robots for the older adults living in the community in China.

Geriatric nursing (New York, N.Y.)
BACKGROUND: Social assistant robots (SARs) are an important part of providing high quality health and social care for older people, and are an effective measure to promote the development of smart aging. Therefore, it is important to understand the f...

A deep attention LSTM embedded aggregation network for multiple histopathological images.

PloS one
Recent advancements in computer vision and neural networks have facilitated the medical imaging survival analysis for various medical applications. However, challenges arise when patients have multiple images from multiple lesions, as current deep le...

Dragonfly algorithm-support vector machine approach for prediction the optical properties of blood.

Computer methods in biomechanics and biomedical engineering
Knowledge of the optical properties of blood plays important role in medical diagnostics and therapeutic applications in laser medicine. In this paper, we present a very rapid and accurate artificial intelligent approach using Dragonfly Algorithm/Sup...

A Scoping Review on the Use of Machine Learning in Return-to-Work Studies: Strengths and Weaknesses.

Journal of occupational rehabilitation
PURPOSE: Decisions to increase work participation must be informed and timely to improve return to work (RTW). The implementation of research into clinical practice relies on sophisticated yet practical approaches such as machine learning (ML). The o...

The Role and Potential Contributions of the Artificial Intelligence Language Model ChatGPT.

Annals of biomedical engineering
This discussion paper aims to examine the potential benefits and limitations of using artificial intelligence (AI) chatbots in nursing practice, with a particular focus on the ChatGPT example. The study discusses how chatbots can serve as a valuable ...

Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol.

Skeletal radiology
OBJECTIVE: The objective of this study is to prospectively compare quantitative and subjective image quality, scanning time, and diagnostic confidence between a new deep learning-based reconstruction(DLR) algorithm and standard MRI protocol of lumbar...

Virtual pretreatment patient-specific quality assurance of volumetric modulated arc therapy using deep learning.

Medical physics
BACKGROUND: Automatic patient-specific quality assurance (PSQA) is recently explored using artificial intelligence approaches, and several studies reported the development of machine learning models for predicting the gamma pass rate (GPR) index only...

Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.

Journal of environmental management
Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to either produce electricity by degrading organic matter or consume electricity to assist metabolism, and can be used for various applications such as energy production, wastew...

The future of robotic pancreaticoduodenal surgery: a bibliometric analysis.

Journal of robotic surgery
OBJECTIVES: Robotic pancreaticoduodenectomy (RPD) has garnered significant research attention in the last decade. However, no bibliometric studies have been conducted on this field yet. Therefore, the aim of this study is to provide an up-to-date ana...