AIMC Topic: Canada
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Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Nov 6, 2022
Artificial intelligence (AI) software in radiology is becoming increasingly prevalent and performance is improving rapidly with new applications for given use cases being developed continuously, oftentimes with development and validation occurring in...
Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities.
Scientific reports
Nov 1, 2022
New 'big data' streams such as street-level imagery are offering unprecedented possibilities for developing health-relevant data on the urban environment. Urban environmental features derived from street-level imagery have been used to assess pedestr...
Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype.
Journal of addiction medicine
Oct 2, 2022
OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problematic sexual behavior (PSB) are similar to those observed in addictive disorders, or related to impulse control or to compulsivity. The aim of this report...
Economic Evaluation of Telerobotic Ultrasound Technology to Remotely Provide Ultrasound Services in Rural and Remote Communities.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jul 30, 2022
INTRODUCTION: Telerobotic ultrasound technology allows radiologists and sonographers to remotely provide ultrasound services in underserved areas. This study aimed to compare costs associated with using telerobotic ultrasound to provide ultrasound se...
Predicting recurrence and recurrence-free survival in high-grade endometrial cancer using machine learning.
Journal of surgical oncology
Jul 12, 2022
OBJECTIVE: To develop machine-learning models to predict recurrence and time-to-recurrence in high-grade endometrial cancer (HGEC) following surgery and tailored adjuvant treatment.
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.
Computer methods and programs in biomedicine
Jun 9, 2022
OBJECTIVES: Recent studies have shown that deep learning based on pre-treatment positron emission tomography (PET) or computed tomography (CT) is promising for distant metastasis (DM) and overall survival (OS) prognosis in head and neck cancer (HNC)....
Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database.
Scientific reports
Apr 6, 2022
Accumulation of beta-amyloid in the brain and cognitive decline are considered hallmarks of Alzheimer's disease. Knowing from previous studies that these two factors can manifest in the retina, the aim was to investigate whether a deep learning metho...
Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students: A Randomized Clinical Trial.
JAMA network open
Feb 1, 2022
IMPORTANCE: To better understand the emerging role of artificial intelligence (AI) in surgical training, efficacy of AI tutoring systems, such as the Virtual Operative Assistant (VOA), must be tested and compared with conventional approaches.
A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning.
Frontiers in public health
Jan 12, 2022
The unbounded increase in network traffic and user data has made it difficult for network intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e-healthcare since the patients' medical records should be kept hig...
Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma).
Journal of intensive care medicine
Dec 13, 2021
BACKGROUND: Critical care research in Canada is conducted primarily in academically-affiliated intensive care units with established research infrastructure, including research coordinators (RCs). Recently, efforts have been made to engage community ...
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