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Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Digital transformation is a cultural change that must consider new health care models, process reengineering, systems reorganization, and a deeper understanding of people’s behavior and digital skills. Likewise, such transformation requires a new multisectoral and interdisciplinary approach in the development and implementation of public policies, regulatory frameworks and national digital literacy programs [36].

Sebastian Garcia-Saiso, Myrna Marti, Karina Pesce, Silvana Luciani, Oscar Mujica, Anselm Hennis, Marcelo D'Agostino

JMIR Cancer 2024;10:e57276

System-Wide Change Is Essential to Value the Contributions of Women in Medicine and Science

System-Wide Change Is Essential to Value the Contributions of Women in Medicine and Science

For effective and sustained change, we need system-wide structural changes. This essential work must be done by those with a platform and with the ability to make the necessary changes. It must be funded and cannot be relegated to “free time” or “after hours special projects,” lest we continue to perpetuate the uncompensated “third shift” and burn out those women most driven to advocate for change [7].

Shikha Jain, Jessica M Allan, Rakhee K Bhayani

J Med Internet Res 2023;25:e52509

Fear of COVID-19 and Prevention Behaviors: Cross-Lagged Panel Analysis

Fear of COVID-19 and Prevention Behaviors: Cross-Lagged Panel Analysis

Uptake of prevention behaviors, including masking in public, social distancing, and staying home except for essential activities [1], has been variable [2,3], underscoring the need for identification of mechanisms of behavior change to encourage uptake of behaviors appropriate for the current level of risk and dominant variants.

Katherine M Anderson, Jamila K Stockman

JMIR Form Res 2022;6(11):e35730

Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study

Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study

Therefore, a comparison of sentiment toward vaccines between the periods and ONSs on the raw sentiment values would not show whether a change in sentiment toward vaccines was due to an overall change in sentiment or, instead, due to a change in sentiment specifically toward vaccines. Therefore, to enable comparison of the periods and between the ONSs, each sentiment value for a vaccine headline was adjusted according to the overall average sentiment in the given ONS.

Bente Christensen, Daniel Laydon, Tadeusz Chelkowski, Dariusz Jemielniak, Michaela Vollmer, Samir Bhatt, Konrad Krawczyk

JMIR Infodemiology 2022;2(2):e35121

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

interface and user experience Integrate with electronic health record to access the required data at the required latency Prototype workflow application with end users Model and infrastructure development Develop the machine learning model and infrastructure required to implement model, including integrations with other technologies Develop and validate the machine learning model on retrospective data Validate the machine learning model and infrastructure on prospective silent period launch Implementation, change

Mark P Sendak, William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, Mike Revoir, Faraz Yashar, Corinne Miller, Kelly Kester, Sahil Sandhu, Kristin Corey, Nathan Brajer, Christelle Tan, Anthony Lin, Tres Brown, Susan Engelbosch, Kevin Anstrom, Madeleine Clare Elish, Katherine Heller, Rebecca Donohoe, Jason Theiling, Eric Poon, Suresh Balu, Armando Bedoya, Cara O'Brien

JMIR Med Inform 2020;8(7):e15182