Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Safety and Restricted Communication are two critical challenges faced by practical Multi-Agent Systems (MAS). However, most Multi-Agent Reinforcement Learning (MARL) algorithms that rely solely on reward shaping are ineffective in ensuring safety, and their applicability is rather limited due to the fully connected communication. To address these issues, we propose a novel framework, Graph-based S...
Recent breakthroughs in spatial multi-omics enable simultaneous profiling of different modalities while preserving tissue architecture, providing unprecedented opportunities to explore tissue complexity. However, due to the sparse and noisy nature of the data, interpreting these complex tissue structures and cellular communication remains challenging. We present MultiSP, a deep learning framework ...
BackgroundEffective communication and shared decision-making are essential for optimising urological care, making informed decisions, and improving pa...
This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artificial intelligence (AI)-based predictive analytics ...
Game theory provides important theoretical and methodological support for the application expansion of deep learning in complex interaction scenarios,...
The integration of nanotechnology and artificial intelligence (AI) in dentistry offers transformative potential for diagnostics, treatment, and preven...
Renal cell carcinoma is the primary cause of cancer-related mortality, highlighting the importance of early detection and accurate diagnosis. Manual h...
Nail diseases, including fungal infections and malignancies, pose significant health risks and may lead to severe complications if not accurately diag...
In partially observable multi-agent tasks, communication modules need to be trained to supplement information for decision-making, and decision-making...
BACKGROUND: The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the eff...
Human-Computer Interaction (HCI) depends critically on hand gesture recognition, which also provides the basis of sign language communication for thos...
PURPOSE: Chatbots have an impressive ability to answer patient inquiries and assist medical personnel, but they are limited by specialty-specific know...
BACKGROUND: Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in routine care, particularly in home health care (HHC),...
Non-contact Lower limb sports injuries represent some of the most prevalent and impactful conditions within athletic populations, prompting increasing...
OBJECTIVES: To qualitatively characterize barriers and facilitators to implementing and using an ambient scribe across a large academic medical center...
BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but remains complex, resource-intensive, and variable...
This study evaluated parent perceptions during outpatient pediatric medical visits with presence of medical scribes (virtual or in-person) or no scrib...
Today, the rise of the Internet of Medical Things (IoMT) has evolved into a highly valued global market worth billions of dollars. However, this growt...
BACKGROUND: The use and standardization of innovative artificial intelligence (AI) tools continue to grow and have the potential to enhance the field ...
PURPOSE: The Novara Cohort Study (NCS) was established to investigate the biological, psychological and social factors that influence ageing in the ge...