Results 261 to 270 of about 598,623 (310)
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
The Most Influential Scientists in the Development of Medical Informatics (1): Francois Gremy
Izet Mašić
openalex +2 more sources
Abstract Objective Status epilepticus (SE) is a neurological emergency requiring immediate treatment. Although intravenous lacosamide (LCM) is used for the management of epilepsy, its effectiveness in treating SE remains unclear. We aimed to compare the in‐hospital outcomes between intravenous LCM and levetiracetam (LEV) as an early adjunctive therapy ...
Yumiko Nakamura +8 more
wiley +1 more source
Not the medical informatics of our founding mothers and fathers, or is it? [PDF]
Bakken S.
europepmc +1 more source
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm +7 more
wiley +1 more source
EGR1 Nuclear Condensates Promote Renal Cyst Development in Polycystic Kidney Disease
ABSTRACT Autosomal dominant polycystic kidney disease (ADPKD) is marked by aberrant cell proliferation driven by cAMP‐PKA and MAPK signaling pathways. EGR1, a transcription factor directly activated by the above two pathways, is critical in the over‐proliferation of tumor cells, which share similarities with cystic epithelial cells in ADPKD. This study
Chaoqun Ren +15 more
wiley +1 more source
Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan +8 more
wiley +1 more source
International Medical Informatics Association (IMIA)
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doaj
The search criteria for three systematic reviews were replicated using ChatGPTv3.5 and Bard. Outputs included author, title, publication year, and journal and were cross‐referenced with medical databases and compared to the original reviews. Large language models failed to replicate peer‐reviewed methodologies.
Ajibola B. Bakare +4 more
wiley +1 more source

