AI applications in healthcare, such as diagnostics and treatment optimization, bring significant benefits but also raise ethical concerns, such as data breaches, biased algorithms, transparency, and patient consent. To ensure patient trust and safety, solutions such as data encryption, diverse algorithm training, and ongoing monitoring are needed. A collaborative approach involving diverse perspectives and stakeholders, including ethicists, healthcare professionals, and patient advocacy groups, is key to developing ethical, user-centric AI systems.
Data breach disclosed by BayMark Health Services
The breach exposed sensitive data such as names, dates of birth, contact details, Social Security numbers, driver’s licenses, taxpayer IDs, payment information, and health and
