Background: Medication treatment studies of ADHD have typically not assessed effects on reading performance, although reading difficulties frequently co-occur in children with ADHD. The current study characterizes the effects of lisdexamfetamine dimesylate (LDX; Vyvanse(®), Shire US Inc.), at peak efficacy, on reading performance in children with ADHD.
Method: Children (ages 6-12; N = 26) with ADHD enrolled in a modified laboratory school study with an open-label, dose-optimization phase of LDX (30-70 mg/d). The Gray Oral Reading Test-4 (GORT-4) with measures of rate, accuracy, and comprehension was administered at baseline and 3-4 hr postdose, following 4 to 5 weeks of optimal dose titration.
Results: Treatment reduced ADHD symptoms. Reading rate was improved, especially among children with higher verbal fluid reasoning without additional symptoms of neurodevelopmental delay. No differences were observed for reading accuracy or comprehension.
Conclusion: Endophenotypical profiles may predict drug effects in specific skill areas, such as reading rate.
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http://dx.doi.org/10.1177/1087054710378008 | DOI Listing |
Eur Heart J Digit Health
January 2025
Cardiovascular Center, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA.
Aims: This study evaluates the performance of OpenAI's latest large language model (LLM), Chat Generative Pre-trained Transformer-4o, on the Adult Clinical Cardiology Self-Assessment Program (ACCSAP).
Methods And Results: Chat Generative Pre-trained Transformer-4o was tested on 639 ACCSAP questions, excluding 45 questions containing video clips, resulting in 594 questions for analysis. The questions included a mix of text-based and static image-based [electrocardiogram (ECG), angiogram, computed tomography (CT) scan, and echocardiogram] formats.
Eur Heart J Digit Health
January 2025
Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.
View Article and Find Full Text PDFFront Psychol
January 2025
Institute of Special Needs Education, Bern University of Teacher Education, Bern, Switzerland.
Introduction: Learning to write is a complex task involving peripheral (e.g., handwriting speed and legibility) and central (e.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Purpose: The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system considering zero-shot learning capability of LLMs, integrated with a comprehensive database of PET reading reports, in improving reference to prior reports and decision making.
Methods: We developed a custom LLM framework with retrieval capabilities, leveraging a database of over 10 years of PET imaging reports from a single center.
Nano Converg
January 2025
Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore, 117576, Singapore.
Ferroelectric capacitive memories (FCMs) utilize ferroelectric polarization to modulate device capacitance for data storage, providing a new technological pathway to achieve two-terminal non-destructive-read ferroelectric memory. In contrast to the conventional resistive memories, the unique capacitive operation mechanism of FCMs transfers the memory reading and in-memory computing to charge domain, offering ultra-high energy efficiency, better compatibility to large-scale array, and negligible read disturbance. In recent years, extensive research has been conducted on FCMs.
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