Artificial Intelligence (AI) in Health Care

Artificial Intelligence (AI) has tremendous potential to advance clinical practice and the delivery of patient care. The NEJM AI Grand Rounds podcast series includes informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. You will learn how AI will change clinical practice and healthcare, how it will impact the patient experience, and about the people who are pushing for innovation. NEJM AI Grand Rounds - Podcast Series | NEJM AI Journal | JAMA + AI

• TrialGPT - NLM/NIH - A proof-of-concept system utilizing LLMs to match patients with suitable clinical trials.

Important Caveat: While AI tools offer exciting possibilities, it is important to approach their use with a full understanding of the inherent risks involved. It is also important to note that AI responses may not always reflect accurate information and should be validated against reliable sources.

Meanwhile, we highly recommend following the guidelines below when using AI tools.   

• Only upload Open Access articles into an AI tool. DO NOT upload proprietary articles into AI tools.
• Always fact check information AI provides against reliable sources. Ask a Librarian for assistance.
• Free AI tools are essentially not free in terms of using your personal data for training purposes. 
• Most AI chat services or search tools are NOT PHI, HIPAA or FERPA compliant. 

Adhere to the Samuel Merritt University (SMU) AI Guidelines listed below.

Responsible Use of AI Tools (SMU)

With the growing use of artificial intelligence (AI) tools such as ChatGPT, Grammarly, or Turnitin, it is essential to use these technologies responsibly and in compliance with privacy laws and university policies.

Key considerations include:

• Data input: Avoid entering sensitive or personally identifiable information (PII), such as student or patient data, into AI tools unless they have been specifically approved for such use by SMU.
• FERPA and HIPAA compliance: Ensure that the use of AI does not compromise the confidentiality of education or health records.
• Reviewing outputs: Verify the accuracy and appropriateness of AI-generated outputs before using them in academic or professional settings.
• Approved tools: Whenever possible, use AI tools that have been vetted and approved by the university to ensure compliance with applicable security standards.