Results 171 to 180 of about 10,128 (293)

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li, Flora Su, Norbert Banyi, Philip Edgcumbe, Andrew Thamboo, Ameen Amanian   +5 more
wiley   +1 more source

Rehabilitation needs of long COVID patients in British Columbia

PM&R, EarlyView.
Abstract Introduction COVID‐19 can result in persistent symptoms and functional impairment that significantly impact daily functioning, highlighting the need for targeted rehabilitation. However, there is a lack of data on what proportion of long COVID patients need rehabilitation and which types are required.
Débora M. Petry Moecke, Evan H. Kwong, Sonya Cressman, Jennifer Yao, Chiara Singh, Carolyn Taylor, Pat G. Camp   +6 more
wiley   +1 more source

Psychological mechanisms linking AI hallucinations to user trust and behavioral intentions toward AI-generated videos: an S-O-R perspective. [PDF]

Front Psychol
Liu J, Sun Y, Xiao K.
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Deviations in effective connectivity explain different hallucination subtypes in Parkinson's disease psychosis. [PDF]

Nat Ment Health
Vignando M, Ffytche D, Mazibuko N, Palma G, Bhat A, Montagnese M, Dave S, Tai YF, Batzu L, Leta V, Chaudhuri KR, Williams Gray CH, Mehta MA.   +12 more
europepmc   +1 more source

Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate

MLLMs often generate outputs that are inconsistent with the visual content, a challenge known as hallucination. Previous methods focus on determining whether a generated output is hallucinated, without identifying which image region leads to the ...
Niu, Zhenxing, Lin, Zheng, Wang, Zhibin, Xu, Yinghui   +3 more
core  

T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

SmartBot, EarlyView.
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo, Zihang Zhao, Leiyao Cui, Saiyao Zhang, Liu Yang, Zhi Han, Xiyuan Tang, Yixin Zhu   +7 more
wiley   +1 more source

Individual threat-relevance accelerates belief-updating in conditioned hallucinations. [PDF]

Sci Rep
Martin JM, Fisher VL, Eckert AL, Powers A, Sterzer P.   +4 more
europepmc   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Beyond the reducing valve: towards a computational neurophenomenology of altered states via deep neural networks. [PDF]

Front Psychol
Suzuki K.
europepmc   +1 more source