Results 111 to 120 of about 1,105 (219)

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

open access: yesEye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

How Multiple Streams Influence Agenda‐Setting for Water Reuse in Swiss Substates

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT As climate change creates significant challenges for both the environment and society, potential mitigation and adaptation solutions are widely discussed. Yet, neither challenges nor their potential solutions automatically reach the political agenda or lead to a policy decision.
Magdalena A. Knabl   +4 more
wiley   +1 more source

MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning. [PDF]

open access: yesSci Rep
Prakash K   +7 more
europepmc   +1 more source

Direct cortical stimulation–evoked symptoms in the human temporal pole: A systematic review

open access: yesEpileptic Disorders, EarlyView.
Abstract The temporal pole represents a key node within temporolimbic networks and may contribute to seizure generation in temporal lobe epilepsy. Direct cortical stimulation (DCS), performed during intracranial presurgical evaluation, is a valuable method for delineating the seizure onset zone by reproducing electro‐clinical features of a patient's ...
Yulia Novitskaya   +1 more
wiley   +1 more source

Comparison of volume‐ and surface‐based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler   +17 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

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