Artificial intelligence (AI) and mixed reality (MR), within human-computer interaction (HCI), are rapidly redefining areas of healthcare by introducing new approaches to patient care and clinical education. This editorial explores how these technologies, through Extended Mind Theory, enhance mental health treatment and medical training. AI-powered virtual therapists, using natural language processing and predictive analytics, provide accessible, personalized mental health support, allowing for remote and immersive therapy. In MR environments, patients with anxiety, post-traumatic stress disorder (PTSD), or phobias can safely engage in therapeutic exercises, confronting fears in controlled, virtual settings. In clinical education, AI and MR deliver adaptive, immersive training tools that respond to individual needs, enabling repeated practice in a risk-free environment. These tools improve skills and build confidence by simulating high-stakes scenarios like emergency response, with HCI principles ensuring user-friendly and experiential learning. Ethical considerations, including data security and transparency, are essential as these tools integrate into healthcare. This blend of AI, MR, and HCI redefines healthcare boundaries, extending cognitive and emotional support into virtual spaces, enhancing both patient care and clinical training.
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http://dx.doi.org/10.7759/cureus.74968 | DOI Listing |
Commun Med (Lond)
January 2025
International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan.
Background: In-person interaction offers invaluable benefits to people. To guarantee safe in-person activities during a COVID-19 outbreak, effective identification of infectious individuals is essential. In this study, we aim to analyze the impact of screening with antigen tests in schools and workplaces on identifying COVID-19 infections.
View Article and Find Full Text PDFChaos
January 2025
Department of Computer Science and A.I. Andalusian Research Institute DaSCI "Data Science and Computational Intelligence, " University of Granada, 18071 Granada, Spain.
Reputation and punishment are significant guidelines for regulating individual behavior in human society, and those with a good reputation are more likely to be imitated by others. In addition, society imposes varying degrees of punishment for behaviors that harm the interests of groups with different reputations. However, conventional pairwise interaction rules and the punishment mechanism overlook this aspect.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, China.
Sound signals not only serve as the primary communication medium but also find application in fields such as medical diagnosis and fault detection. With public healthcare resources increasingly under pressure, and challenges faced by disabled individuals on a daily basis, solutions that facilitate low-cost private healthcare hold considerable promise. Acoustic methods have been widely studied because of their lower technical complexity compared to other medical solutions, as well as the high safety threshold of the human body to acoustic energy.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biomedical Engineering, School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.
Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer interface (BCI) by exploiting their advantages. However, an efficient strategy for integrating the two methods has not yet been established.
View Article and Find Full Text PDFACS Chem Neurosci
January 2025
National Measurement Laboratory, LGC, Queens Road, TW11 0LY Teddington, U.K.
Neurofilament light chain (NfL) is an early nonspecific biomarker in neurodegenerative diseases and traumatic brain injury, indicating axonal damage. This work describes the detailed structural characterization of a selected primary calibrator with the potential to be used in future reference measurement procedure (RMP) development for the accurate quantification of NfL. As a part of the described workflow, the sequence, higher-order structure as well as solvent accessibility, and hydrogen-bonding profile were assessed under three different conditions in KPBS, artificial cerebrospinal fluid, and artificial cerebrospinal fluid in the presence of human serum albumin.
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