AIMC Topic: Adult

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A novel STA-EEGNet combined with channel selection for classification of EEG evoked in 2D and 3D virtual reality.

Medical engineering & physics
Virtual reality (VR), particularly through 3D presentations, significantly boosts user engagement and task efficiency in fields such as gaming, education, and healthcare, offering more immersive and interactive experiences than traditional 2D formats...

Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental health conditions. These algorithms are often developed without considering the perspectives of the affected populations. This study describes the process ...

Liver Fat Fraction and Machine Learning Improve Steatohepatitis Diagnosis in Liver Transplant Patients.

NMR in biomedicine
Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and elastography as robust, non-invasive biomarkers for diagnosing steatohepatitis in liver transplant patients, validated through decision tree analysis....

Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

Environment international
BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over several decades, with environmental factors like air pollution (AP) increasingly implicated. This study investigates associations between prenatal exposu...

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND: Steatotic liver disease (SLD) is the most common liver disease worldwide, affecting 30% of the global population. It is strongly associated with the interplay of genetic and lifestyle-related risk factors. The genetic variant accounting f...

Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room.

Computers in biology and medicine
Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, affordability, and seamless integration into the surgical workflow. However, its adoption remains limited, primarily because of the challenges associat...

Intuitive judgements towards artificial intelligence verdicts of moral transgressions.

The British journal of social psychology
Automated decision-making systems have become increasingly prevalent in morally salient domains of services, introducing ethically significant consequences. In three pre-registered studies (N = 804), we experimentally investigated whether people's ju...

Automated 3D facial smile attractiveness assessment before and after orthognathic surgery using transfer learning: A preliminary study.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
The aesthetic appearance of the mouth during smiling significantly influences facial attractiveness, thereby, making smile analysis crucial in orthodontics, craniofacial surgery, and cosmetic dentistry. Accurate and quantitative evaluation of facial ...

Automatic adult age estimation using bone mineral density of proximal femur via deep learning.

Forensic science international
Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet traditional methods relying on bone mineral density (BMD) face significant challenges due to biological variability and methodological limitations. Thi...

Approach or avoidance? Relationship between perceived AI explainability and employee job crafting.

Acta psychologica
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes. This study leverages work design theory to explore when and ho...