Imaging company gave its patients' X-rays, CT scans to an AI company without patient consent. How did it happen?

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Imaging company gave its patients' X-rays, CT scans to an AI company without patient consent. How did it happen?

I-MED, Australia's largest radiology provider, has come under scrutiny for sharing de-identified patient data, including X-rays and CT scans, with an AI company without explicit consent. This action has triggered an investigation by the Office of the Australian Information Commissioner, especially following a previous data breach dating back to 2006. Many patients are now avoiding I-MED due to these revelations, which highlight significant gaps in privacy understanding among the public.

The partnership between I-MED and AI startup Harrison.ai, which led to the creation of Annalise.ai, aims to develop AI for radiology. However, the ethical implications of using patient data without consent raise critical questions about data governance and patient rights. As Australia seeks to enhance its health AI capabilities, the need for robust frameworks to protect patient data and ensure transparency in AI research becomes increasingly urgent.

• I-MED shared patient data with AI companies without explicit consent.

• The partnership with Harrison.ai aims to develop AI for radiology.

Key AI Terms Mentioned in this Article

De-identified Data

De-identified data refers to information that has been stripped of personal identifiers, making it less likely to be traced back to individuals.

AI Training

AI training involves exposing algorithms to large datasets, allowing them to learn patterns and make predictions.

Waiver of Consent

A waiver of consent allows researchers to use existing data without obtaining explicit permission from individuals, under certain ethical conditions.

Companies Mentioned in this Article

I-MED

I-MED is Australia's largest radiology provider, involved in medical imaging and data sharing for AI development.

Harrison.ai

ai is an AI startup that partnered with I-MED to create Annalise.ai, focusing on AI applications in radiology.

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