AIMC Topic: Pilot Projects
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study.
Medical education online
Feb 13, 2024
Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to train physicians who understand the utility and implications of AI and mitigate a growing skills gap, no established consensu...
Deep learning for automatic detection of cephalometric landmarks on lateral cephalometric radiographs using the Mask Region-based Convolutional Neural Network: a pilot study.
Oral surgery, oral medicine, oral pathology and oral radiology
Feb 12, 2024
OBJECTIVE: We examined the effectiveness and feasibility of the Mask Region-based Convolutional Neural Network (Mask R-CNN) for automatic detection of cephalometric landmarks on lateral cephalometric radiographs (LCRs).
Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: A pilot study.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Feb 11, 2024
Elderly patients often have more than one disease that affects walking behavior. An objective tool to identify which disease is the main cause of functional limitations may aid clinical decision making. Therefore, we investigated whether gait pattern...
Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.
BMC musculoskeletal disorders
Feb 9, 2024
BACKGROUND: Hip dysplasia is a condition where the acetabulum is too shallow to support the femoral head and is commonly considered a risk factor for hip osteoarthritis. The objective of this study was to develop a deep learning model to diagnose hip...
Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study.
JMIR mental health
Feb 6, 2024
BACKGROUND: Mentalization, which is integral to human cognitive processes, pertains to the interpretation of one's own and others' mental states, including emotions, beliefs, and intentions. With the advent of artificial intelligence (AI) and the pro...
Automated Prediction of Infant Cognitive Development Risk by Video: A Pilot Study.
IEEE journal of biomedical and health informatics
Feb 5, 2024
OBJECTIVE: Cognition is an essential human function, and its development in infancy is crucial. Traditionally, pediatricians used clinical observation or medical imaging to assess infants' current cognitive development (CD) status. The object of pedi...
Reminiscent music therapy combined with robot-assisted rehabilitation for elderly stroke patients: a pilot study.
Journal of neuroengineering and rehabilitation
Jan 30, 2024
BACKGROUND: Although some studies suggest that robot-assisted technology can significantly improve upper limb function in stroke patients compared to traditional rehabilitation training, it is still necessary to incorporate an auxiliary intervention ...
Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study.
Journal of endourology
Jan 29, 2024
Automated skills assessment can provide surgical trainees with objective, personalized feedback during training. Here, we measure the efficacy of artificial intelligence (AI)-based feedback on a robotic suturing task. Forty-two participants with no...
Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department.
Scandinavian journal of trauma, resuscitation and emergency medicine
Jan 23, 2024
BACKGROUND: Many prediction models have been developed to help identify emergency department (ED) patients at high risk of poor outcome. However, these models often underperform in clinical practice and their actual clinical impact has hardly ever be...
Validation of reliability, repeatability and consistency of three-dimensional choroidal vascular index.
Scientific reports
Jan 18, 2024
This study aimed to investigate the reliability, repeatability and consistency of choroidal vascularity index (CVI) measurements provided by an artificial intelligence-based software in swept-source optical coherence tomography (SS-OCT) in normal sub...
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