Remove from Image: Biased or discriminatory algorithms, unreliable or unvalidated data sources, insufficient privacy and security measures, lack of interpretability or transparency in AI models, unethical data usage or sharing practices, suboptimal model performance or accuracy, disregard for regulatory guidelines or industry standards, inadequate integration of AI into existing healthcare workflows, overreliance on AI without human oversight, excessive computational or resource requirements, complexity or difficulty in implementing AI solutions.