Artificial intelligence (AI) could benefit healthcare but lawmakers must mitigate risks, including patient data privacy, a US congressional subcommittee has heard. AI technology in healthcare relies on vast amounts of data, prompting concerns over whether existing privacy legislation can cope. Witnesses highlighted the need for federal data privacy protections, appropriate use of health data in consumer apps, and robust quality datasets for training AI models.
Improving health data's accessibility with AI and ML
Enterprise taxonomy involves interoperability among various sectors, including population and public health, analytics, AI, and data and information in healthcare. Node settings indicate a preference
