Results 101 to 110 of about 118,817 (266)

Left ventricular function improvement during angiotensin receptor–neprilysin inhibitor treatment in a cohort of HFrEF/HFmrEF patients

ESC Heart Failure, Volume 12, Issue 2, Page 1151-1165, April 2025.
Prediction of LVEF improvement in patients with HFrEF and HFmrEF following treatment with Sacubitril/Valsartan. Workflow of this study investigating the functional capacity improvement in response to Sacubitrail/Valsartsan in a real‐world scenario of heart failure treatment.
Florian Appenzeller, Tobias Harm, Manuel Sigle, Parwez Aidery, Klaus‐Peter Kreisselmeier, Livia Baas, Andreas Goldschmied, Meinrad Paul Gawaz, Karin Anne Lydia Müller   +8 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source

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

Epilepsia, 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, Marco Reisert, Theo Demerath, Florian Mayer, Christian Moeller, Joshua Reß, Yiwen Li Hegner, Dirk‐Matthias Altenmüller, Victoria San Antonio‐Arce, Christian Scheiwe, Mukesch Shah, Jürgen Beck, Soroush Doostkam, Thomas Bast, Bernhard J. Steinhoff, Andreas Schulze‐Bonhage, Horst Urbach, Marcel Heers   +17 more
wiley   +1 more source

Accuracy of the rapid‐response electroencephalography's Automated Seizure Burden Estimator: A follow‐up validation study of version 8 (AccuRASE II)

Epilepsia, EarlyView.
Abstract Objective Ceribell Inc.'s point‐of‐care electroencephalographic (EEG) system and artificial intelligence‐based Automated Seizure Burden Estimator (ASBE; ClarityPro) have US Food and Drug Administration clearance for diagnosing electrographic status epilepticus (ESE).
Zubeda B. Sheikh, Michael W. K. Fong, Monica B. Dhakar, Wei Fang, Neishay Ayub, Janine Molino, Hiba A. Haider, Brandon Foreman, Emily J. Gilmore, Moshe Mizrahi, Ioannis Karakis, Sarah Schmitt, Gamaleldin Osman, Ji Yeoun Yoo, Lawrence J. Hirsch   +14 more
wiley   +1 more source

Magnetoencephalographic source imaging improves localization of the epileptogenic zone in multimodal imaging evaluation

Epilepsia, EarlyView.
Abstract Objective To assess the added diagnostic value of magnetoencephalographic source imaging (MSI) beyond conventional magnetic resonance imaging (MRI) and fluorodeoxyglucose–positron emission tomography (FDG‐PET) in localizing the epileptogenic zone, with stereo‐electroencephalography (SEEG) and surgical resection serving as reference standards ...
Romain Bouet, Marc Hermier, Karine Ostrowsky‐Coste, Sebastien Daligault, Sandrine Bouvard, Hélène Catenoix, Alexandra Montavont, Sébastien Boulogne, François Mauguière, Sylvain Rheims, Julien Jung   +10 more
wiley   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 more
wiley   +1 more source

Comparison of the Recurrence of RRD in PPV Combined Cataract Surgery with PPV Alone, and Risk Factors in PPV Combined Cataract Surgery

Journal of the Korean Ophthalmological Society, 2017
Hye In Park, Myung Hun Yoon, Hee Seung Chin   +2 more
openaire   +1 more source

Febrile status epilepticus and epileptogenesis: The FEBSTAT study

Epilepsia Open, EarlyView.
Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis, Douglas R. Nordli Jr., Douglas R. Nordli III, Shlomo Shinnar, Stephen Chan, Jacqueline A. Bello, L. Matthew Frank, James Voyvodic, William Gallentine, Syndi Seinfeld, Yoshimi Sogawa, Erica Weiss, David Masur, Yuan Xu, Solomon L. Moshé   +14 more
wiley   +1 more source

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source