Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA), amalgamates the standard flocking behaviors of attraction, alignment, and repulsion, together with predator avoidance, foraging, general obstacle avoidance, and wandering. The novelty of the FIRA algorithm is the...
The purpose of this study is to evaluate the performance of tele-robotic distal gastrectomy (tele-RDG) with lymph node dissection (LND) using a novel Japanese-made surgical robot hinotori™ (Medicaroid, Kobe, Japan) in a cadaver with a presumptive gastric cancer. The Cadaveric Anatomy and Surgical Training Laboratory (CAST-Lab.) at Hokkaido University and Kushiro City General Hospital (KCGH) are co...
Some weakly electric fish can use electric signals to interact and communicate with each other in dark and complex underwater environments where tradi...
Surgical workflow analysis is essential to help optimize surgery by encouraging efficient communication and the use of resources. However, the perform...
Lung cancer has the highest mortality rate among all cancers in the world. Hence, early diagnosis and personalized treatment plans are crucial to impr...
Standardised medical terminologies are used to ensure accurate and consistent communication of information and to facilitate data exchange. Currently,...
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulati...
Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or other external devices. They can extend a person's deg...
With the popularization of intelligent sensing and the improvement of modern medical technology, intelligent medical sensing technology has emerged as...
In this review, we address the issue of fairness in the clinical integration of artificial intelligence (AI) in the medical field. As the clinical ado...
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve regions such as the oral cavity, pharynx, and nas...
Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be effectively reduced by intervening on the risk facto...
Early disease detection and prevention methods based on effective interventions are gaining attention worldwide. Progress in precision medicine has re...
Much has been written about the concerns surrounding artificial intelligence (AI). This article looks positively at how AI can enhance communication a...
BACKGROUND: Accurately diagnosing gallbladder polyps (GBPs) is important to avoid misdiagnosis and overtreatment.
The widespread application of artificial intelligence in health research is currently hampered by limitations in data availability. Distributed learni...
For multiagent communication and cooperation tasks in partially observable environments, most of the existing works only use the information contained...
In Japan, there is a growing initiative to construct centralized databases and platforms that can aggregate and manage a vast range of medical, health...
With the rapid advancement of information and communication technology (ICT), big data, and artificial intelligence (AI), intelligent healthcare syste...
Malignant melanoma (MM) is the "great mime" of dermatopathology, and it can present such rare variants that even the most experienced pathologist migh...