Results 121 to 130 of about 1,390,346 (232)
Harnessing the Potential of LLMs in Hospital Management: Insights Into Medical Data Inquiry
ABSTRACT Background Considering the rapid expansion of hospital operations and the increasing digitisation of medical data, there is a pressing need for efficient and intelligent methods to process and analyse large‐scale medical data. Methods We integrated the QLoRA algorithm with ChatGLM2‐6b, Llama2‐7b, and Llama2‐13b models, fine‐tuning them on a ...
Jiaxi Li +4 more
wiley +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Artificial intelligence and liquidation: Reality, destiny and fantasy
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
Delusion Is Not a Bug: AI, Psychiatry, and the Ethics of Uncertainty. [PDF]
Carr BR.
europepmc +1 more source
Abstract Autoimmune encephalitis is a group of disorders characterized by symptoms of dysfunction of the limbic and extra‐limbic systems that occur in association with antibodies against intracellular antigens, synapses, or proteins located on the surface of nerve cells. Anti‐NMDA (N‐methyl‐D‐aspartate) receptor encephalitis was first described in 2007
Pham Ba Nha +6 more
wiley +1 more source
Technology-Themed Persecutory and Related Presentations of Delusions in the Digital Age: Narrative Review. [PDF]
Bokhari SA +4 more
europepmc +1 more source
Abstract Objective Large language models (LLMs) are increasingly utilized in modern medicine. In obstetrics, their ability to interpret complex imaging, such as ultrasound images for placenta accreta spectrum (PAS), remains largely unexplored. This study aimed to investigate the capacity of multimodal LLMs to interpret sonographic images of placentae ...
Iason Psilopatis +6 more
wiley +1 more source
Folie à deux as a cusp catastrophe in coupled active inference: a dynamical systems account of shared psychotic disorder. [PDF]
Beasley D.
europepmc +1 more source
This graphical abstract illustrates a bidirectional vicious cycle between Alzheimer’s disease (AD) and circadian rhythm disturbance (CRD). On the one hand, AD pathology, including amyloid‐β (Aβ) plaque deposition and tau hyperphosphorylation, may damage the suprachiasmatic nucleus (SCN) and disrupt melatonin signaling, leading to sleep fragmentation ...
Jiajia Qin +10 more
wiley +1 more source
Understanding and Shared Understanding in Military Coalitions
Shared understanding is commonly seen as essential to the success of coalition operations, and current research efforts are attempting to develop techniques and technologies to improve shared understanding in coalition military contexts. In spite of this,
Smart, Paul R
core +1 more source

