Healthcare professionals are needed to create unbiased and ethical data for AI in healthcare. This applies to admitting clerks, medical assistants, techs, lab techs, dialysis techs, X-rays techs, and other health...

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Responsibility is a component of the Moral Architecture of AI

The Moral Architecture of AI involves NON-MALEFICENCE

The moral architecture of AI includes Transparency

The Moral Architecture of AI: Justice

AI haa a grip on the world! It's important to note that oftentimes, humans that are creating LLM'S fail to define the architecture of AI. Justice, Non-Maleficence, Beneficence, Responsibility, and Transparency a...

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Creating chatbots for smarter healthcare is helping patients with their disease management. #healthcare

Kidney transplants

Kidney transplants #healthcare

Machine learning fundamentals

Let's work together to end unethical and biased data. Building factual and accurate algorithms will reflect truthful patient-centered datasets. #aiinhealthcare

AI IN HEALTHCARE

Removing biases in healthcare #healthcare

Biases

No more historical data in healthcare! It's time to train datasets properly based on factual and culturally based care. #ai #healthcare

Disparities in healthcare are continuously creating unethical dilemmas and biases. How do we address these issues. Historical data must be changed with accurate datasets.

Pulse ox are often inaccurate in African Americans due to darker skin tones! It's time to find safe solutions for our patients. #datasets #ai

It's time to train datasets properly! No more unethical dilemmas and biases in healthcare. #ai

We must change biases in healthcare. Too many mis diagnoses and under diagnosis are inhibiting adequate care for our communities. . It's time to take a seat at the table and exact change. Historical data creat...

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Education

Mis diagnoses

Biases and mis diagnoses are important issues that must be addressed in AI design and datasets #ai