#25 - When Safety Slips: Prompt Injection in Healthcare AI episode artwork

EPISODE · Jan 1, 2026 · 25 MIN

#25 - When Safety Slips: Prompt Injection in Healthcare AI

from Code & Cure · host Vasanth Sarathy & Laura Hagopian

What happens when a chatbot follows the wrong voice in the room? In this episode, we explore the hidden vulnerabilities of prompt injection, where malicious instructions and fake signals can mislead even the most advanced AI into offering harmful medical advice.We unpack a recent study that simulated real patient conversations, subtly injecting cues that steered the AI to make dangerous recommendations—including prescribing thalidomide for pregnancy nausea, a catastrophic lapse in medical judgment. Why does this happen? Because language models aim to be helpful within their given context, not necessarily to prioritize authoritative or safe advice. When a browser plug-in, a tainted PDF, or a retrieved web page contains hidden instructions, those can become the model’s new directive, undermining guardrails and safety layers.From direct “ignore previous instructions” overrides to obfuscated cues in code or emotionally charged context nudges, we map the many forms of this attack surface. We contrast these prompt injections with hallucinations, examine how alignment and preference training can unintentionally amplify risks, and highlight why current defenses, like content filters or system prompts, often fall short in clinical use.Then, we get practical. For AI developers: establish strict instruction boundaries, sanitize external inputs, enforce least-privilege access to tools, and prioritize adversarial testing in medical settings. For clinicians and patients: treat AI as a research companion, insist on credible sources, and always confirm drug advice with licensed professionals.AI in healthcare doesn’t need to be flawless, but it must be trustworthy. If you’re invested in digital health safety, this episode offers a clear-eyed look at where things can go wrong and how to build stronger, safer systems. If you found it valuable, follow the show, share it with a colleague, and leave a quick review to help others discover it.Reference: Vulnerability of Large Language Models to Prompt Injection When Providing Medical AdviceRo Woon LeeJAMA Open Health Informatics (2025)Credits: Theme music: Nowhere Land, Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0https://creativecommons.org/licenses/by/4.0/

Episode metadata supplied by the publisher feed · Published Jan 1, 2026

Embed this episode

What happens when a chatbot follows the wrong voice in the room? In this episode, we explore the hidden vulnerabilities of prompt injection, where malicious instructions and fake signals can mislead even the most advanced AI into offering harmful medical advice. We unpack a recent study that simulated real patient conversations, subtly injecting cues that steered the AI to make dangerous recommendations—including prescribing thalidomide for pregnancy nausea, a catastrophic lapse in medical ju...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

#25 - When Safety Slips: Prompt Injection in Healthcare AI

0:00 25:26

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Code & Cure?

This episode is 25 minutes long.

When was this Code & Cure episode published?

This episode was published on January 1, 2026.

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

Can I download this Code & Cure episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!