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http://dx.doi.org/10.1176/ajp.161.10.1930 | DOI Listing |
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States.
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.
Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).
JMIR Form Res
January 2025
Interdisciplinary Centre for Health Technology Assessment and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, Erlangen, 91054, Germany, 49 162-2463579.
Background: Dementia is a growing global health challenge with significant economic and social implications. Underdiagnosis of dementia is prevalent due to a lack of knowledge and understanding among the general population. Enhancing dementia literacy through improved health information-seeking behavior is crucial for the self-determined management of the disease by those affected.
View Article and Find Full Text PDFJ Am Acad Child Adolesc Psychiatry
January 2025
University of Michigan, Ann Arbor, MI, USA.
Objective: The goal of this study is to construct a 16-week, two-stage, adaptive intervention consisting of DTT ([discrete trials training], largely considered usual care for children with autism), JASP-EMT (a blended, naturalistic, developmental behavioral intervention involving JASPER [joint attention, symbolic play, engagement and regulation] and EMT [enhanced milieu teaching]), and parent training (P) for improving spontaneous, communicative utterances in school-aged, minimally verbal autistic children. Intervention was delivered both at school (DTT, JASP-EMT) and home (P). This manuscript reports results for the study's primary aim and a closely related secondary aim.
View Article and Find Full Text PDFExp Neurol
January 2025
Exercise Biochemistry Laboratory, Center of Physical Education and Sports, Federal University of Santa Maria, Santa Maria, Brazil; Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil. Electronic address:
Traumatic brain injury (TBI) is a burdensome condition frequently associated with an increased risk of psychiatric disorders. Although the exact molecular signaling pathways have not yet been fully defined, the compromised integrity of functional brain networks in regions such as the prefrontal cortex and anterior cingulate cortex has been linked to persistent symptoms, including depression, fatigue, and sleep disorders. Understanding how TBI affects neural physiology enables the development of effective interventions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!