Results 241 to 250 of about 444,058 (336)

Artificial Intelligence in Eating Disorder Treatment: A Qualitative Analysis of Clinical Opportunities, Barriers, and Ethical Considerations From Multi‐Disciplinary Focus Groups

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This study explored eating disorder and Artificial Intelligence (AI) professionals' perspectives on how AI might support eating disorder treatment. Successful implementation requires insight into implementation partners' perspectives.
J. Maas   +9 more
wiley   +1 more source

Clinicians' Experiences of Providing Compulsory Care for Youth With Anorexia Nervosa: A Qualitative Study

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective While compulsory treatment is shown to be potentially traumatic for patients, its impact on clinicians has been insufficiently studied. This study aimed to examine clinicians' experiences with providing compulsory nasogastric tube feeding for youth with severe anorexia nervosa, with particular attention to identifying factors ...
T. M. Offringa   +6 more
wiley   +1 more source

Neurofeedback for Binge‐Eating Disorder: Neurophysiological Outcome Predictors and Rapid Response

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Pioneer studies suggested the effectiveness of food‐specific electroencephalography (EEG) and real‐time functional near‐infrared spectroscopy (rtfNIRS) neurofeedback (NF) trainings in the treatment of binge‐eating disorder (BED). These trainings aim to improve participants' neurophysiological self‐regulation.
Ben Schreglmann   +3 more
wiley   +1 more source

Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT)

open access: yesEnvironmental and Molecular Mutagenesis, EarlyView.
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons   +17 more
wiley   +1 more source

Influence of Metabolic Syndrome in the Occurrence of Hearing Disorders in Patients Monitored in Hospitals in Kinshasa in the Democratic Republic of Congo: Cross-Sectional Study of Hospital Data

open access: green
Aliocha Natuhoyila Nkodila   +5 more
openalex   +1 more source

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

open access: yesEpilepsia 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   +4 more
wiley   +1 more source

The relationship between changes in functional connectivity gradients and cognitive–emotional disorders in sudden sensorineural hearing loss

open access: gold
Biao Li   +8 more
openalex   +1 more source

Predictors of etiology and drug resistance in children with new‐onset focal seizures

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To examine the clinical features of new‐onset focal seizures in children and investigate clinical associations and predictors of underlying etiology and drug resistance. Methods Data were gathered from The Children's Hospital at Westmead admissions for patients aged 1 month to 18 years who presented with new‐onset focal seizures ...
Byoung Chan Lee   +7 more
wiley   +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

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