Results 201 to 210 of about 56,442 (225)
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
Neuroanatomical and functional correlates in borderline personality disorder: A narrative review
Borderline personality disorder (BPD) is considered a dysfunctional, stable, and pervasive alteration in personality functioning with the inability to adapt to the environment, mental rigidity, and ego‐syntonic, and like all personality disorders is a consistent pattern of inner experience and behavior that deviates markedly from the expectations of ...
Giulio Perrotta
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
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
Effects of Cognitive Behavioral Therapy for Worry Versus Befriending Therapy in Individuals with Persecutory Delusions: A Randomized Trial. [PDF]
Sheffield JM +14 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
ABSTRACT Objective Behavioral and psychological symptoms of dementia (BPSD) are highly prevalent in Alzheimer’s disease (AD), but the underlying mechanisms are unclear. This study aims to elucidate the neuropathological mechanisms underlying BPSD by investigating gray matter volume (GMV) and brain connectivity in AD patients with and without BPSD ...
Xuerui Pang +8 more
wiley +1 more source
From observation to evidence: harnessing the mental status examination as a real-world data source in clinical research. [PDF]
Oyesanya M, Correll CU.
europepmc +1 more source

