Addressing Algorithmic

Bias in Healthcare

AI Health understands that bias is baked into the current healthcare system. In order to ensure more inclusive, patient-centric solutions for diverse populations, best practices in addressing these biases are employed.

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Infographic representing Advancing Equitable Healthcare with AI. It features a network of different people interconnected. Everyone is of different ethnicities, age, and gender.

Quality Assurance with Transparency

AI is typically seen as magic black boxes that arrive at a result with no explanation of how. AI Health uses explainable AI that “shows its work” to medical advisory members for transparency and constant quality assurance of the AI models.

Infographic representing quality assurance through explainable AI. It features a graphic containing a five step process. The first step represents the Healthcare Ecosystem. It is displayed as a globe encircled by three arrows in a cycle. It then leads to the second step connecting them with the step saying “captures”. The second step represents Data. It is displayed as a genome network of six dots connected by a web of lines. It then leads to the third step connecting them with the step saying “models”. The third step represents AI Black Box. It is displayed as a box with a question mark on its’ sides. It then leads to the fourth step with an arrow saying “interprets”. The fourth step represents explainability. It is represented as cogs turning. It then leads to the fifth and final step with an arrow saying “explains”. The fifth step represents “Medical Advisory”. It is displayed as a male doctor. Captures Models Interprets Explains
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Infographic representing Medical Advisory Oversight. It features five doctors standing in a group. The doctors are of various ethnicities, genders and heights. They are all wearing lab coats.

Medical Advisory Oversight

AI Health’s medical advisory team identifies meaningful variables per use case within chronic illness to help mitigate bias in training datasets — like blood type, age, gender, skin color etc.

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Constantly Pursuing Equitable Outcomes

The AI Health Platform uses AI models that constantly work to identify bias and continuously advance more equitable outcomes using feedback from medical advisory and patient outcomes.

Icon representing Constantly Pursuing Equitable Outcomes. It is a three piece graphic that reads from left to right. It starts with an Artificial Intelligence network icon connecting to a pipeline that leads to a cog icon. It then connects to a large icon of the scales of justice.

Ethical Approach to AI

Quality Assurance through Explainable AI

AI is typically seen as magic black boxes that arrive at a result with no explanation of how. AI Health uses explainable AI that “shows its work” to medical advisory members for transparency and constant quality assurance of the AI models.

Infographic representing quality assurance through explainable AI. It features a graphic containing a five step process. The first step represents the Healthcare Ecosystem. It is displayed as a globe encircled by three arrows in a cycle. It then leads to the second step connecting them with the step saying “captures”. The second step represents Data. It is displayed as a genome network of six dots connected by a web of lines. It then leads to the third step connecting them with the step saying “models”. The third step represents AI Black Box. It is displayed as a box with a question mark on its’ sides. It then leads to the fourth step with an arrow saying “interprets”. The fourth step represents explainability. It is represented as cogs turning. It then leads to the fifth and final step with an arrow saying “explains”. The fifth step represents “Medical Advisory”. It is displayed as a male doctor.