AIMC Topic: Pilot Projects
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Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.
International journal of paediatric dentistry
Mar 30, 2022
BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.
Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.
PloS one
Mar 16, 2022
AIMS: To determine the psychosocial impact of assistive technology(AT) based on robotics and artificial intelligence in the life of people with disabilities.
The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.
Journal of psychoactive drugs
Mar 15, 2022
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...
Deep Learning for Predictive Analysis of Pediatric Otolaryngology Personal Statements: A Pilot Study.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Mar 8, 2022
OBJECTIVE: The personal statement is often an underutilized aspect of pediatric otolaryngology fellowship applications. In this pilot study, we use deep learning language models to cluster personal statements and elucidate their relationship to appli...
Parsing Immune Correlates of Protection Against SARS-CoV-2 from Biomedical Literature.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
After the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in 2019, identification of immune correlates of protection (CoPs) have become increasingly important to understand the immune response to SARS-CoV-2. The vast amount ...
A pilot study for the prediction of liver function related scores using breath biomarkers and machine learning.
Scientific reports
Feb 7, 2022
Volatile organic compounds (VOCs) present in exhaled breath can help in analysing biochemical processes in the human body. Liver diseases can be traced using VOCs as biomarkers for physiological and pathophysiological conditions. In this work, we pro...
Exploring the use of machine learning for the assessment of skeletal fracture morphology and differentiation between impact mechanisms: A pilot study.
Journal of forensic sciences
Jan 28, 2022
Analyzing and interpreting traumatic injuries is a fundamental aspect of routine forensic case work. As the human skeleton can be impacted through a combination of loading mechanisms and varying impact energies, the analysis and interpretation of ske...
Comments on: "Endoscopic prediction of submucosal invasion in Barrett's cancer with the use of artificial intelligence: a pilot study".
Endoscopy
Jan 27, 2022
Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of "Automatic" Overlapping Era.
Urology
Jan 19, 2022
Augmented reality robot-assisted partial nephrectomy (AR-RAPN) is limited by the need of a constant manual overlapping of the hyper-accuracy 3D (HA3D) virtual models to the real anatomy. To present our preliminary experience with automatic 3D virtual...
A pilot study of a deep learning approach to detect marginal bone loss around implants.
BMC oral health
Jan 16, 2022
BACKGROUND: Recently, there has been considerable innovation in artificial intelligence (AI) for healthcare. Convolutional neural networks (CNNs) show excellent object detection and classification performance. This study assessed the accuracy of an a...
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