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Patterns of Marijuana Use and Nicotine Exposure in Patients Seeking Elective Aesthetic Procedures.
Plastic and reconstructive surgery
Oct 16, 2023
BACKGROUND: With the increasing legalization and popularity of marijuana, it is frequently and sometimes unintentionally combined with nicotine-containing products. As a consequence, patients may fail to accurately report usage during preoperative ex...
Using Machine Learning to Select Breast Implant Volume.
Plastic and reconstructive surgery
Oct 16, 2023
BACKGROUND: In breast augmentation surgery, selection of the appropriate breast implant size is a crucial step that can greatly affect patient satisfaction and the outcome of the procedure. However, this decision is often based on the subjective judg...
On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry.
BMC medical informatics and decision making
Oct 9, 2023
BACKGROUND: Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient's condition and deciding on transport destination. Data-driven On Scene Injur...
Eye-Tracking in Physical Human-Robot Interaction: Mental Workload and Performance Prediction.
Human factors
Oct 4, 2023
BACKGROUND: In Physical Human-Robot Interaction (pHRI), the need to learn the robot's motor-control dynamics is associated with increased cognitive load. Eye-tracking metrics can help understand the dynamics of fluctuating mental workload over the co...
Performance evaluation of a deep learning-based cascaded HRNet model for automatic measurement of X-ray imaging parameters of lumbar sagittal curvature.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Oct 3, 2023
PURPOSE: To develop a deep learning-based cascaded HRNet model, in order to automatically measure X-ray imaging parameters of lumbar sagittal curvature and to evaluate its prediction performance.
Machine Learning for the Prediction of Survival Post-Allogeneic Hematopoietic Cell Transplantation: A Single-Center Experience.
Acta haematologica
Sep 28, 2023
INTRODUCTION: Prediction of outcomes following allogeneic hematopoietic cell transplantation (HCT) remains a major challenge. Machine learning (ML) is a computational procedure that may facilitate the generation of HCT prediction models. We sought to...
Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs.
Perspectives on psychological science : a journal of the Association for Psychological Science
Sep 26, 2023
There is growing interest in the field of cooperative artificial intelligence (AI), that is, settings in which humans and machines cooperate. By now, more than 160 studies from various disciplines have reported on how people cooperate with machines i...
Machine Learning Differentiation of Autism Spectrum Sub-Classifications.
Journal of autism and developmental disorders
Sep 26, 2023
PURPOSE: Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic crite...
Real-time stress detection based on artificial intelligence for people with an intellectual disability.
Assistive technology : the official journal of RESNA
Sep 26, 2023
People with severe intellectual disabilities (ID) could have difficulty expressing their stress which may complicate timely responses from caregivers. The present study proposes an automatic stress detection system that can work in real-time. The sys...
Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs.
Pediatric radiology
Sep 23, 2023
BACKGROUND: Pediatric fractures are challenging to identify given the different response of the pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture detection work has focused on adults.
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