AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Can Hyperparameter Tuning Improve the Performance of a Super Learner?: A Case Study.

Epidemiology (Cambridge, Mass.)
BACKGROUND: Super learning is an ensemble machine learning approach used increasingly as an alternative to classical prediction techniques. When implementing super learning, however, not tuning the hyperparameters of the algorithms in it may adversel...

Advocating for Safe, Quality and Just Care: What Nursing Leaders Need to Know about Artificial Intelligence in Healthcare Delivery.

Nursing leadership (Toronto, Ont.)
The rapid integration of artificial intelligence (AI) into healthcare delivery has not only provided a glimpse into an enhanced digital future but also raised significant concerns about the social and ethical implications of this evolution. Nursing l...

Towards a Clinical Analytics Adoption Maturity Framework for Primary Care.

Studies in health technology and informatics
Clinical decision support systems are evolving with growing analytics capabilities towards pervasive use of artificial intelligence. Maturity models can guide the adoption of these new technologies in clinical practice to improve patient outcomes in ...

Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

Medical care
BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an ele...

What "learning" machines will mean for medicine.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

River flood prediction using fuzzy neural networks: an investigation on automated network architecture.

Water science and technology : a journal of the International Association on Water Pollution Research
Urban floods are one of the most devastating natural disasters globally and improved flood prediction is essential for better flood management. Today, high-resolution real-time datasets for flood-related variables are widely available. These data can...

Digital Mental Health - Innovations in Consumer Driven Care.

Nursing leadership (Toronto, Ont.)
Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from seeking help. Saint Elizabeth Health Care's IntelligentCareâ„¢ Platform supports a range of digital health solutions for holistic health including three s...

A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Head CT scan is more often used to evaluate patients with suspected traumatic brain injury (TBI). However, the use of head CT scans in evaluating TBI is costly with low value endeavor. In this paper, we propose a new algorithm and a set of features t...