Results 141 to 150 of about 59,484 (260)

English medical terminology – different ways of forming medical terms

Jahr : Europski časopis za bioetiku, 2013
In medical terminology, two completely different phenomena can be seen: 1. precisely worked-out and internationally standardised anatomical nomenclature and 2. quickly developing non-standardised terminologies of individual clinical branches. While in the past new medical terms were mostly formed morphologically by means of derivation and composition ...
openaire   +2 more sources

Unsupervised clustering of electroclinical features in temporal lobe epilepsy: A data‐driven approach

Epileptic Disorders, EarlyView.
Abstract Objective To identify clinically meaningful patterns in ictal electroclinical features of focal epilepsy using a data‐driven, unsupervised learning approach, and to assess whether such patterns can localize and lateralize the epileptogenic zone (EZ) more accurately than conventional electroclinical interpretation.
Maria Vlachou, Bernadett Molnár, Helene Kaas, Jesper Tveit, Harald Aurlien, Martin Ejler Fabricius, Guido Rubboli, Lars Hageman Pinborg, Sándor Beniczky   +8 more
wiley   +1 more source

KBG syndrome: A scoping review of electroclinical features of patients with epilepsy

Epileptic Disorders, EarlyView.
Abstract Background and Objectives KBG syndrome is a rare autosomal developmental disorder caused by pathogenic variants of the ANKRD11 gene. This scoping review aimed to explore all current literature data regarding clinical and electroencephalographic features of patients with KBG syndrome and epilepsy. Materials and Methods We conducted a literature
Stefania Kalampokini, Evripidis Pityrigkas, Zoi Kallia, Georgia Pepe, Antonis Frontistis, Dimitrios Profer, Vasilios Kimiskidis   +6 more
wiley   +1 more source

Misnomers in Dermatology and Other Medical Specialties-How to Deal with Science Fiction? [PDF]

J Clin Med
Griss VLB, Velikova RV, Itin P, Vogt DR, Daunton A, Manjaly Thomas ZR, Geiges M, Mueller SM.   +7 more
europepmc   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

Construction of an integrated curriculum for Medical English based on questionnaire surveys. [PDF]

BMC Med Educ
Wang C.
europepmc   +1 more source

Epileptic drop attacks: More than just atonic seizures

Epilepsia Open, EarlyView.
Abstract “Drop attacks” are not officially defined by the International League Against Epilepsy. Seizures are characterized by a sudden loss of control over the trunk and posture, leading to falls and injuries, and resolving within a few seconds. Accurately diagnosing the type of seizure is usually difficult due to limitations in clinical documentation
Tomonori Ono, Kazuaki Sato, Ryoko Honda, Hiroshi Otsubo   +3 more
wiley   +1 more source

A hybrid large language model framework for structured data entry from code-switched persian clinical speech. [PDF]

Sci Rep
Tanhaei M.
europepmc   +1 more source

English medical terminology – different ways of forming medical terms

European Journal of Bioethics, 2013
In medical terminology, two completely different phenomena can be seen: 1. precisely worked-out and internationally standardised anatomical nomenclature and 2. quickly developing non-standardised terminologies of individual clinical branches. While in the past new medical terms were mostly formed morphologically by means of derivation and composition ...
openaire   +1 more source

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

Epilepsia 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, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Izumi Kuramochi   +10 more
wiley   +1 more source