AIMC Topic: Canada

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Automatic gender detection of dream reports: A promising approach.

Consciousness and cognition
A computer program was developed in an attempt to differentiate the dreams of males from females. Hypothesized gender predictors were based on previous literature concerning both dream content and written language features. Dream reports from home-co...

tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events. Systematic approaches to studying CV events associated with targeted anticancer drugs have high potential for elucidating the complex pathways under...

Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.

Medical education online
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...

Selecting high-throughput scanners for clinical use: A multicenter institution experience.

American journal of clinical pathology
OBJECTIVE: To evaluate and implement whole-slide imaging (WSI) scanners for a fully digital pathology workflow at the University Health Network (UHN) in Canada, a multicenter institution. The goal was to optimize clinical diagnosis, education, telepa...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

Journal of comparative effectiveness research
In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evidence generation, a systematic review of clinical trial data linkage approaches, and real-world effectiveness evidence from England's respiratory sync...

Development of Multivariable Prediction Models for 30-Day Risk of Readmission After COPD Hospital Admission: A Retrospective Cohort Study Using Electronic Medical Record Data from 7 Hospitals.

Studies in health technology and informatics
BACKGROUND: Approximately 20% of patients who are discharged from hospital for an acute exacerbation of COPD (AECOPD) are readmitted within 30 days. Prediction scores are helpful to identify those who are at higher risk of readmission, such that they...

Assessing bias in AI-driven psychiatric recommendations: A comparative cross-sectional study of chatbot-classified and CANMAT 2023 guideline for adjunctive therapy in difficult-to-treat depression.

Psychiatry research
The integration of chatbots into psychiatry introduces a novel approach to support clinical decision-making, but biases in their recommendations pose significant concerns. This study investigates potential biases in chatbot-generated recommendations ...

From Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption - A Commentary.

Nursing leadership (Toronto, Ont.)
The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the potential to enhance patient care and streamline clinical operations. This commentary explores the Canadian perspective on key organizational conside...

Evaluation of a BERT Natural Language Processing Model for Automating CT and MRI Triage and Protocol Selection.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
To evaluate the accuracy of a Bidirectional Encoder Representations for Transformers (BERT) Natural Language Processing (NLP) model for automating triage and protocol selection of cross-sectional image requisitions. A retrospective study was comple...

Regulating Innovation: Addressing the Challenges of Canada's Health-Tech Sector.

Studies in health technology and informatics
The Canadian health-tech sector faces regulatory challenges amidst rapid innovations in artificial intelligence (AI), digital health, biotechnology, and medical devices. This paper explores the regulatory landscape based on stakeholder interviews and...