Results 191 to 200 of about 8,405,528 (291)
The development and evaluation of the Patient-Controlled Admission Fidelity Checklist. [PDF]
Smitmanis Lyle M +4 more
europepmc +1 more source
Abstract Objective Artificial intelligence (AI) classifies routine electroencephalograms (EEGs) with expert‐level accuracy, but interpretation of long‐term EEG monitoring (LTM) remains reliant on time‐intensive visual review. We evaluated whether autoSCORE, a clinically approved implementation of SCORE‐AI integrated into an EEG reader, achieves expert ...
Daniel Mansilla +11 more
wiley +1 more source
[Prisoner medical records describing the condition of Jack Ruby]
Partially illegible prisoner medical records by an unknown author, on photocopied index cards. The records describe the condition of Jack Ruby upon his arrest and a letter requesting examination by the Dallas Police Department and the Federal Bureau of ...
core
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges +4 more
wiley +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley +1 more source
Exploring the association between functional gains and length of stay for stroke patients in 2 inpatient rehabilitation facilities in Riyadh city: A retrospective cohort study. [PDF]
AlHarbi BA +7 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
ABSTRACT Objective Anorexia nervosa (AN) is a complex disorder associated with significant morbidity and mortality. Some people with AN require medical admissions to manage physical complications. Currently, little is known about how these medical admissions are experienced, despite an increase in the number of individuals being hospitalised.
Hannah Webb +4 more
wiley +1 more source
Full-Dose Distribution and Age-Dose Concordance of Suvorexant: A Retrospective Drug Utilization Study at a Japanese University Hospital. [PDF]
Kajiura S +6 more
europepmc +1 more source

