AIMC Topic: Adult

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Ambivalent User Needs as a Challenge and Chance for the Design of a Web-Based Intervention for Gaming Disorder: Qualitative Interview Study With Adolescents and Young Adults.

JMIR formative research May 26, 2025
BACKGROUND: In Germany, there are still many young people with gaming disorder (GD) who do not use or cannot access existing treatment services. Given the increasing prevalence of internet use disorders and GD, especially among young people in German...
Adult Male Qualitative Research Interviews as Topic Humans Young Adult Internet Addiction Disorder Focus Groups Video Games Behavior, Addictive Adolescent Internet-Based Intervention Internet Germany
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Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study.

JMIR medical informatics May 26, 2025
BACKGROUND: Electronic health records (EHRs) are widely used in health care systems across the United States to help clinicians access patient medical histories in one central location. As medical knowledge expands, clinicians are increasingly using ...
Qualitative Research Attitude of Health Personnel Interviews as Topic Boston Humans Electronic Health Records Female Adult Male Point-of-Care Systems Middle Aged
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Automated landmark-based mid-sagittal plane: reliability for 3-dimensional mandibular asymmetry assessment on head CT scans.

Clinical oral investigations May 26, 2025
OBJECTIVE: The determination of the mid-sagittal plane (MSP) on three-dimensional (3D) head imaging is key to the assessment of facial asymmetry. The aim of this study was to evaluate the reliability of an automated landmark-based MSP to quantify man...
Humans Tomography, X-Ray Computed Female Reproducibility of Results Mandible Anatomic Landmarks Cephalometry Adult Facial Asymmetry Male Adolescent Imaging, Three-Dimensional
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Retrospective cohort study of infection and risk stratification using 6-year UBT data.

Frontiers in public health May 26, 2025
BACKGROUND: () infection is a major global health concern, linked to gastric cancer and metabolic disorders. Despite its widespread prevalence, accurate risk stratification remains challenging. This study aims to develop a machine learning (ML)-base...
Male Middle Aged Risk Assessment Helicobacter Infections Retrospective Studies Female Aged Adult Helicobacter pylori Breath Tests Humans Machine Learning
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A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights.

Journal of neuroengineering and rehabilitation May 25, 2025
BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assessment of depression severity is critical for diagnosis, treatment planning, and monitoring, yet current clinical tools are largely subjective, relying ...
Male Middle Aged Depressive Disorder, Major Severity of Illness Index Depression Electroencephalography Algorithms Brain Female Adult Humans Machine Learning
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The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

BMC psychiatry May 24, 2025
Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy, a non-invasive monitoring method, shows promise in early identification. This study characterizes Positive Schizotypy Factor (PSF) and Chronic Schizo...
Humans Machine Learning Female Young Adult Adult Male Schizophrenic Psychology Schizotypal Personality Disorder Chronic Disease Schizophrenia Sleep Actigraphy
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Exploring voice as a digital phenotype in adults with ADHD.

Scientific reports May 24, 2025
Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subjective and prone to bias. While research on potential biomarkers, including EEG, brain imaging, and genetics is promising, it has yet to demonstrate clin...
Attention Deficit Disorder with Hyperactivity Female Young Adult Adult Male Humans Middle Aged Case-Control Studies Phenotype Speech Voice
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Cyberdelics: Virtual reality hallucinations modulate cognitive-affective processes.

Dialogues in clinical neuroscience May 23, 2025
INTRODUCTION: Psychedelics were explored for their potential in the mental health field. However, research was delayed by concerns over short-term side effects and long-term consequences of substance use. Technological advances enabled the developmen...
Hallucinogens Humans Hallucinations Female Virtual Reality Young Adult Cognition Adult Emotions Male Heart Rate
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Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

BMC medical imaging May 23, 2025
BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal subarachnoid hemorrhage (aSAH), leading to poor prognosis and high mortality. This study developed a non-contrast CT (NCCT)-based radiomics nomogram for e...
Adult Nomograms Radiomics Tomography, X-Ray Computed Male Female Subarachnoid Hemorrhage Middle Aged Humans Brain Ischemia Risk Factors Machine Learning Aged Retrospective Studies
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Scientific reports May 23, 2025
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utiliz...
Adult Humans Male Middle Aged Depressive Disorder, Major Wavelet Analysis Diagnosis, Computer-Assisted Neural Networks, Computer Cloud Computing Deep Learning COVID-19 Depression Female Electroencephalography SARS-CoV-2
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