Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review.

Background: Situated within a larger project entitled "Exploring the Need for a Uniquely Different Approach in Northern Ontario: A Study of Socially Accountable Artificial Intelligence," this rapid review provides a broad look into how social accountability as an equity-oriented health policy strategy is guiding artificial intelligence (AI) across the Canadian health care landscape, particularly for marginalized regions and populations. This review synthesizes existing literature to answer the question: How is AI present and impacted by social accountability across the health care landscape in Canada?

Methodology: A multidisciplinary expert panel with experience in diverse health care roles and computer sciences was assembled from multiple institutions in Northern Ontario to guide the study design and research team. A search strategy was developed that broadly reflected the concepts of social accountability, AI and health care in Canada.

A systematic review of lost-time injuries in the global mining industry.

Background: Mining is a hazardous occupation with elevated rates of lost-time injury and disability.

Objective: The purpose of this study is twofold: 1) To identify the type of lost-time injuries in the mining workforce, regardless of the kind of mining and 2) To examine the antecedent factors to the occupational injury (lost-time injuries).

Methods: We identified and extracted primary papers related to lost-time injuries in the mining sector by conducting a systematic search of the electronic literature in the eight health and related databases.

Identification and characterization of dynein genes in Tetrahymena.

We describe the protocol through which we identify and characterize dynein subunit genes in the ciliated protozoan Tetrahymena thermophila. The gene(s) of interest is found by searching the Tetrahymena genome, and it is characterized in silico including the prediction of the open reading frame and identification of likely introns. The gene is then characterized experimentally, including the confirmation of the exon-intron organization of the gene and the measurement of the expression of the gene in nondeciliated and reciliating cells.