Results 181 to 190 of about 24,277 (306)

Hallucination Proneness is Linked to Over-Reliance on Internal Priors for Noisy Speech. [PDF]

Schizophr Bull
Batkovskyte I, Subramaniam N, Finnemann J, Davis MH, Fletcher PC.   +4 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  

Epilepsy syndromes classification

Epilepsia Open, EarlyView.
Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell, Nicola Specchio, Rima Nabbout, Phillip L. Pearl, Kate Riney   +4 more
wiley   +1 more source

Omission and hallucination prevalence of clinical guidelines in diagnostic large language model outputs. [PDF]

BMJ Health Care Inform
van Kessel R, Anderson M, McMillan B, Matthews MR, Rust P, Pearcy P, Nasir K, Mossialos E.   +7 more
europepmc   +1 more source

Significance of Hallucinations [PDF]

BMJ, 1939
openaire   +2 more sources

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment

Exploration, EarlyView.
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng, Wangzheqi Zhang, Jun Chen, Huang Wu, Lei Wu, Yanhao Qiu, Xiaoming Deng, Chenglong Zhu, Yisheng Chen, Zhijie Zhao, Changli Wang, Xiaomin Zhang   +11 more
wiley   +1 more source

Med.ai ASK: an agentic system for biomedical question answering. [PDF]

J Am Med Inform Assoc
Nguyen NTH, Lituiev DS, Liu Z, Kashyap A, Jenkinson G, Kuhl K, Corrado C, Patel NM, Snigdha K, Saeedi S, Smith D, Baro N, Schultz T.   +12 more
europepmc   +1 more source

On the neurobiology of hallucinations

Journal of Psychiatry and Neuroscience, 2009
openaire   +2 more sources

Multi-Object Hallucination in Vision-Language Models

Large vision language models (LVLMs) often suffer from object hallucination, producing objects not present in the given images. While current benchmarks for object hallucination primarily concentrate on the presence of a single object class rather than ...
Qian, Shengyi, Xu, Sihan, Chen, Xuweiyi, Yang, Jianing, Zhang, Xuejun, Chai, Joyce, Ma, Ziqiao, Fouhey, David F.   +7 more
core