Latest AI and machine learning research in health policy for healthcare professionals.
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation practice has shown efficacy, simulators are expensive and frequently inaccessible. Cruff (J Surg Educ 78(2): 379-381, 2021) described a low-cost simulation model to learn hand movements for robotic surgery. Our study evaluates whether practice with l...
Context information is the key element to realizing dynamic access control of big data. However, existing context-aware access control (CAAC) methods do not support automatic context awareness and cannot automatically model and reason about context relationships. To solve these problems, this article proposes a weighted GraphSAGE-based context-aware approach for big data access control. First, gra...
Natural-language artificial intelligence (AI) is a promising technological advancement poised to revolutionise the delivery of healthcare. We aim to e...
Neural architecture search (NAS) is a framework for automating the design process of a neural network structure. While the recent one-shot approaches ...
Bacterioruberin and its rare glycosylated derivatives are produced by Arthrobacter agilis as an adaptation strategy to low temperature conditions. The...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to over 820,000 deaths each year primarily due to cirrho...
This critique explores the implications of integrating artificial intelligence (AI) technology, specifically OpenAI's advanced language model GPT-4 an...
In recent years, Internet of Things (IoT) and advanced sensor technologies have gained considerable interest in linking different medical devices, pat...
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mechanisms, has increased over the past 12 years. The...
: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology is still limited to a few hospitals. With the rec...
In Japan, there is a growing initiative to construct centralized databases and platforms that can aggregate and manage a vast range of medical, health...
The implementation of technology in healthcare has revolutionized patient-centered decision making by providing contextualized information about a pat...
Health policies and associated research initiatives are constantly evolving and changing. In recent years, there has been a dizzying increase in resea...
When considering options for future foods, cell culture approaches are at the fore, however, culture media to support the process has been identified ...
This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in...
In this article, evolving and incremental value iteration (VI) frameworks are constructed to address the discrete-time zero-sum game problem. First, t...
In the present research, an innovative biomass-based energy system for the production of electricity and desalinated water for building application is...
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by for...
With increasing demand for efficient archive management, robots have been employed in paper-based archive management for large, unmanned archives. How...
Healthcare artificial intelligence (AI) holds the potential to increase patient safety, augment efficiency and improve patient outcomes, yet research ...