A study by the University of Toronto, the Vector Institute, and MIT showed the input databases that trained AI systems used to classify chest X-rays led the systems to show gender, socioeconomic, and racial biases. Google startups like Qure.ai, Aidoc, and DarwinAI can scan chest X-rays to determine likelihood of conditions like fractures and collapsed lungs. The databases used to train the AI were found to consist of examples of primarily white patients (67.64%), leading the diagnostic system to be more accurate with diagnosing white patients than other patients. Black patients were half as likely to be recommended for further care when it was needed.

A study by the University of Toronto, the Vector Institute, and MIT showed the input databases that trained AI systems used to classify chest X-rays led the systems to show gender, socioeconomic, and racial biases.

Unclear/unknown

Race, Sex, Financial means

Harm to physical health/safety

Google start up companies Qure.ai, Aidoc, and DarwinAI that use AI systems to analyze medical imagery

Google

Human health and social work activities

Perception, Cognition

medical image processor

image classification

MIT, Mount Sinai Hospital, University of Toronto, Vector Institute, Google, Qure.ai, Aidoc, DarwinAI

Google

2020-10-21T07:00:00.000Z

2020-10-21T07:00:00.000Z

Unclear/unknown

Unclear

No

Healthcare and public health

medical imagery databases

race, sex, financial means, age

human health and social work activities