Type
Healthcare
Country
Canada
CA
Documents
43
through any edge
Papers
43
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Alberta Health Services on the authorship, newest first.
2026-07-20 · 6 authors here
Investigating clinical practice variations in coronary artery disease treatment using reinforcement and transfer learning
2026-07-06 · 10 authors here
Enhanced Depression Phenotyping Using Machine Learning and Electronic Medical Records for Disease Surveillance: A Validation Study in Inpatient Settings
2026-07-06 · 10 authors here
Accuracy of EMR-based algorithms for Adverse Event Detection
2026-07-06 · 5 authors here
A Large Language Model Leaderboard for Clinical Note Entity Extraction
2026-02-26 · 25 authors here
The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation
2025-10-30 · 7 authors here
Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach
2025-08-21 · 4 authors here
A Custom Keyword Tool for Improving the Quality of Social Media Monitoring on Vaccine Safety: A Proof of Concept
2025-07-22 · 15 authors here
Navigating ethical challenges in generative AI-enhanced research: The ETHICAL framework for responsible generative AI use
2025-05-30 · 1 authors here
Advancements and Challenges in Nursing Education a Comprehensive Review
2025-05-30 · 1 authors here
Advancements and Challenges in Nursing Education a Comprehensive Review
2025-05-27 · 10 authors here
Short-term and long-term outcome prediction for patients with coronary artery disease using machine learning and comprehensive multi-center patient data
2025-04-08 · 7 authors here
Integrating large language models with human expertise for disease detection in electronic health records
2025-02-05 · 13 authors here
An institutional framework to support ethical fair and equitable artificial intelligence augmented care
2025-01-01 · 8 authors here
ChatGPT assists in identifying and recommending research study designs to support study protocol writing
2024-12-09 · 7 authors here
Translating ophthalmic medical jargon with artificial intelligence: a comparative comprehension study
2024-11-01 · 7 authors here
Current trends and future implications in the utilization of ChatGPT in nursing: A rapid review
2024-09-10 · 7 authors here
Enhancing Disease Detection in Electronic Medical Records: Integrating Human Expertise and Large Language Models with Application to Diabetes, Hypertension, and Acute Myocardial Infarction
2024-09-10 · 8 authors here
Cardiovascular disease surveillance using electronic medical records: a scoping study
2024-08-17 · 7 authors here
Quality of interaction between clinicians and artificial intelligence systems. A systematic review
2024-01-31 · 8 authors here
A qualitative review of social media sharing and the 2022 monkeypox outbreak: did early labelling help to curb misinformation or fuel the fire?
2024-01-01 · 8 authors here
Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports
2023-12-01 · 9 authors here
Exploring the reliability of inpatient EMR algorithms for diabetes identification
2023-11-09 · 11 authors here
Exploring the potential utility of AI large language models for medical ethics: an expert panel evaluation of GPT-4
2023-10-09 · 7 authors here
Critical Analysis of Privacy Risks in Machine Learning and Implications for Use of Health Data: A systematic review and meta-analysis on membership inference attacks
2023-09-02 · 8 authors here
Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number