AIMC Topic: Canada

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Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.

Journal of affective disorders Apr 24, 2024
BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on...
Male Aging Middle Aged Aged Aged, 80 and over Depression Canada Longitudinal Studies Anxiety Comorbidity Anxiety Disorders Humans Machine Learning Prospective Studies Female Frailty
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Estimation of instantaneous peak flows in Canadian rivers: an evaluation of conventional, nonlinear regression, and machine learning methods.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 17, 2024
Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Comp...
Rivers Water Movements Models, Theoretical Regression Analysis Nonlinear Dynamics Machine Learning Canada
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Advocating for population health: The role of public health practitioners in the age of artificial intelligence.

Canadian journal of public health = Revue canadienne de sante publique Apr 16, 2024
Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also...
Humans Artificial Intelligence Population Health Public Health Practice Professional Role Public Health Canada Health Equity
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Real-World Outcomes of Patients with Advanced Epidermal Growth Factor Receptor-Mutated Non-Small Cell Lung Cancer in Canada Using Data Extracted by Large Language Model-Based Artificial Intelligence.

Current oncology (Toronto, Ont.) Apr 2, 2024
Real-world evidence for patients with advanced -mutated non-small cell lung cancer (NSCLC) in Canada is limited. This study's objective was to use previously validated DARWEN artificial intelligence (AI) to extract data from electronic heath records ...
Aged, 80 and over Adult Male ErbB Receptors Middle Aged Artificial Intelligence Lung Neoplasms Treatment Outcome Female Canada Carcinoma, Non-Small-Cell Lung Aged Mutation Humans
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Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes.

Archives of dermatological research Mar 6, 2024
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of the most common types of cancers. It is said that in the USA only, one in...
Humans Artificial Intelligence Skin Neoplasms Image Processing, Computer-Assisted Canada Skin
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AI in the ED: Assessing the efficacy of GPT models vs. physicians in medical score calculation.

The American journal of emergency medicine Feb 20, 2024
BACKGROUND AND AIMS: Artificial Intelligence (AI) models like GPT-3.5 and GPT-4 have shown promise across various domains but remain underexplored in healthcare. Emergency Departments (ED) rely on established scoring systems, such as NIHSS and HEART ...
Retrospective Studies Canada Emergency Service, Hospital Humans Artificial Intelligence Physicians
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Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.

BMC medical informatics and decision making Feb 8, 2024
BACKGROUND: The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent unmet mental health needs. Ac...
Humans Hospitalization Mental Health Canada Emergency Service, Hospital Outpatients Deep Learning Adolescent Child
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Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.

Journal of the American College of Radiology : JACR Jan 23, 2024
Artificial intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
Europe Canada Societies, Medical Humans United States Radiology Artificial Intelligence Australia New Zealand
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Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA.

Journal of medical imaging and radiation oncology Jan 23, 2024
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
Radiology Societies, Medical Canada Europe Humans Artificial Intelligence
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Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jan 22, 2024
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
New Zealand Societies, Medical Humans Australia Artificial Intelligence Europe Radiology Canada United States
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