AIMC Topic: Pilot Projects
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Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.
Acta neurochirurgica
May 1, 2020
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and requires balancing of risk factors and scores. Machine learning (ML) algorithms have previously been effective at generating highly accurate and comprehe...
A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.
PloS one
Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Macula Lutea
Receptors, Vascular Endothelial Growth Factor
Bevacizumab
Retinal Vein Occlusion
Angiogenesis Inhibitors
Male
Humans
Workflow
Treatment Outcome
Middle Aged
Macular Edema
Machine Learning
Tomography, Optical Coherence
Pilot Projects
Female
Vascular Endothelial Growth Factor A
Drug Monitoring
Image Processing, Computer-Assisted
Adult
Recombinant Fusion Proteins
Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles Vaccination.
Journal of medical Internet research
Apr 29, 2020
BACKGROUND: Although clinical decision support (CDS) alerts are effective reminders of best practices, their effectiveness is blunted by clinicians who fail to respond to an overabundance of inappropriate alerts. An electronic health record (EHR)-int...
Identification of the Facial Features of Patients With Cancer: A Deep Learning-Based Pilot Study.
Journal of medical Internet research
Apr 29, 2020
BACKGROUND: Cancer has become the second leading cause of death globally. Most cancer cases are due to genetic mutations, which affect metabolism and result in facial changes.
Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.
Cancer imaging : the official publication of the International Cancer Imaging Society
Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.
Forensic science international. Genetics
Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
Active Intent Disambiguation for Shared Control Robots.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 14, 2020
Assistive shared-control robots have the potential to transform the lives of millions of people afflicted with severe motor impairments. The usefulness of shared-control robots typically relies on the underlying autonomy's ability to infer the user's...
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.
JMIR public health and surveillance
Apr 14, 2020
BACKGROUND: The recent global outbreak of coronavirus disease (COVID-19) is affecting many countries worldwide. Iran is one of the top 10 most affected countries. Search engines provide useful data from populations, and these data might be useful to ...
Socially-Assistive Robots Using Empathy to Reduce Pain and Distress during Peripheral IV Placement in Children.
Pain research & management
Apr 9, 2020
OBJECTIVES: Socially-assistive robots (SAR) have been used to reduce pain and distress in children in medical settings. Patients who perceive empathic treatment have increased satisfaction and improved outcomes. We sought to determine if an empathic ...
Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.
PloS one
Apr 9, 2020
Wrong-site surgeries can occur due to the absence of an appropriate surgical time-out. However, during a time-out, surgical participants are unable to review the patient's charts due to their aseptic hands. To improve the conditions in surgical time-...
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