The integration of artificial intelligence in healthcare introduces notable risks, including potential algorithmic bias leading to health disparities, data privacy vulnerabilities regarding sensitive patient medical records, lack of algorithmic transparency ("black box" decisions), liability challenges during misdiagnoses, and the risk of reducing the essential human empathy required in physician-patient relationships. Additionally, over-reliance on automated diagnostic tools can occasionally lead to critical oversight if errors occur.