Transforming the landscape of artificial intelligence, Large Language Models (LLMs) such as ChatGPT and Bard (a conversational generative artificial intelligence chatbot developed by Google) have taken center stage, captivating many industries with their immense potential. The medical field has adopted this revolutionary technology, which is evident from the surge of Artificial Intelligence (AI) and Machine Learning (ML) integrated devices. The FDA approved an astounding 100 new AI/ML devices in 2022 alone.
With any groundbreaking innovation, these devices bring unique concerns regarding safety and cybersecurity. To address this critical issue, the Open Worldwide Application Security Project (OWASP) has recently released their draft Top Ten list of LLM vulnerability types. OWASP is an esteemed organization that works to improve the security of software with tens of thousands of members and is a leading player in the industry for educational and training conferences.
Our comprehensive White Paper serves as an invaluable resource, enlightening you on the intricacies of LLM implementations within medical devices. It equips you with the necessary insights to proactively devise regulatory and development strategies, mitigating potential safety and security issues well in advance, thus safeguarding your application’s success.
Click more to read the MEDIcept White Paper!