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Joshua Jorgensen

What is explainable AI, and why it is so important?


We need machine learning models to make predictions and be transparent in their explanations of these predictions. Explainable AI (XAI) is essential research to enable users and stakeholders to interpret...

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Creating a vision for a healthier population


Building over several years, many organizations’ programs are dedicated to serving consumers equally - addressing gender, income, race, ethnicity, sexual orientation, geography, and more in their care and follow-up. Organizations...

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Ryan Patrick Parker

Want to achieve health equity? Start by eliminating data bias


Although data and knowledge of the disproportionate application and access to health amongst minority populations are well known, data regarding the impact of the virus on exacerbating health disparities wasn’t...

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Kathy Carty

What is responsible AI and why should we practice it?


Artificial intelligence (AI) has been adopted by many industries as an important method for answering business questions. This powerful decision-making technique is extremely valuable to the healthcare industry. Responsible AI...

Carla De Jesus Martinez
Carla De Jesus Martinez

Unlocking the digital potential of healthcare


Editor’s note: The following is a glimpse at the art of the possible with a particular focus less on the enabling technology but more on the impact of technology on...