Trust & safety is essential in healthcare as AI-driven solutions are thriving. In order to ensure medical AI is safe, ethical, and compliant, you need high data quality, privacy protection, and unbiased model behavior. High-precision medical annotation across clinical text, imaging, diagnostics, and triage models helps protect patients and make the right decisions. Our trust & safety solutions for medical annotations include AI risk assessments, hallucination checks, toxicity and bias detection, and regulatory compliance monitoring.
Together, these capabilities form a robust safety layer that reduces clinical risk, builds patient trust, and ensures AI-enabled healthcare solutions are safe, responsible, and scalable.
Our medical AI annotation, coding and data labeling services deliver high-quality training data essential to develop accurate and trustworthy AI systems. We provide end-to-end annotations across all data types, with support from expert annotators and SMEs. With multi layer quality checks, gold set calibration, and AI assisted pre labeling, we ensure consistent, scalable, and cost efficient outcomes.
Our flexible delivery models and advanced tooling help enterprises validate training data, accelerate AI development while maintaining maximum accuracy, reliability, and trust & safety.
Infosys offers a modular, yet integrated, trust & safety solution tailored for healthcare environments. Here are some of our healthcare AI governance and risk management use cases.
Infosys integrates trust & safety from concept to continuous operations, ensuring safety is not an afterthought.
Our trust & safety services help organizations protect their digital platforms, users and brand reputation by proactively managing risks such as fraud, abusive content, privacy breaches and regulatory non-compliance.
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.