Results 191 to 200 of about 2,226,725 (298)

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
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

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
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

Toward Multimodal Conversational Artificial Intelligence for Age-Related Macular Degeneration. [PDF]

open access: yesOphthalmol Retina
Gu R   +7 more
europepmc   +1 more source

Natural language processing‐based emotion and usage analysis of an AI‐powered chatbot for epilepsy support

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki   +10 more
wiley   +1 more source

Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes: A Randomized Clinical Trial.

open access: yesJAMA Netw Open, 2023
Nayak A   +10 more
europepmc   +1 more source

A Review of Automatic Measurement of Learning Engagement Using Body Clues

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Learning engagement is an overarching multifaceted construct that includes behavioral, cognitive, and emotional dimensions. The static subjective measurements may lead to inaccurate results. Considering the authenticity and reliability of body signals, this study investigated the types of body cues used in measuring learning engagement and ...
Qi Xu   +5 more
wiley   +1 more source

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