AIMC Topic: Young Adult
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Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study.
Wiener medizinische Wochenschrift (1946)
Sep 7, 2023
OBJECTIVE: This study aimed to discuss the application value of an artificial intelligence-based diagnosis and recognition system (AIDRS) in the teaching activities for Bachelor of Medicine and Bachelor of Surgery (MBBS) in China. The learning perfor...
Machine learning and regression analysis for age estimation from the iliac crest based on computed tomographic explorations in an Indian population.
Medicine, science, and the law
Sep 5, 2023
Age estimation constitutes an integral parameter of identification. In children, sub-adults, and young adults, accurate age estimation is vital on various aspects of civil, criminal, and immigration law. The iliac crest presents as a suitable age mar...
Detecting schizophrenia with 3D structural brain MRI using deep learning.
Scientific reports
Sep 2, 2023
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve clas...
The (Im)perfect Automation Schema: Who Is Trusted More, Automated or Human Decision Support?
Human factors
Aug 26, 2023
OBJECTIVE: This study's purpose was to better understand the dynamics of trust attitude and behavior in human-agent interaction.
Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series.
Journal of medical case reports
Aug 25, 2023
BACKGROUND: Chest X-ray offers high sensitivity and acceptable specificity as a tuberculosis screening tool, but in areas with a high burden of tuberculosis, there is often a lack of radiological expertise to interpret chest X-ray. Computer-aided det...
Deep learning models for webcam eye tracking in online experiments.
Behavior research methods
Aug 22, 2023
Eye tracking is prevalent in scientific and commercial applications. Recent computer vision and deep learning methods enable eye tracking with off-the-shelf webcams and reduce dependence on expensive, restrictive hardware. However, such deep learning...
Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study.
Depression and anxiety
Aug 22, 2023
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with clinical routine data have only resulted in moderate prediction accuracies. Neuroimaging data showe...
Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.
Sexually transmitted diseases
Aug 16, 2023
BACKGROUND: Sexually transmitted infections (STIs) among youth aged 12 to 24 years have doubled in the last 13 years, accounting for 50% of STIs nationally. We need to identify predictors of STI among youth in urban HIV epicenters.
Artificial Intelligence for Rhinoplasty Design in Asian Patients.
Aesthetic plastic surgery
Aug 14, 2023
BACKGROUND: Rhinoplasty is one of the most challenging plastic surgeries because it lacks a uniform standard for preoperative design or implementation. For a long time, rhinoplasties were done without an accurate consensus of aesthetic design between...
Predicting Sociodemographic Attributes from Mobile Usage Patterns: Applications and Privacy Implications.
Big data
Aug 14, 2023
When users interact with their mobile devices, they leave behind unique digital footprints that can be viewed as predictive proxies that reveal an array of users' characteristics, including their demographics. Predicting users' demographics based on ...
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