CHESTBlogIs ChatGPT an LGBTQ+ Ally? How Medical AI Could Help Lift Our Community

Is ChatGPT an LGBTQ+ Ally? How Medical AI Could Help Lift Our Community

Is ChatGPT an LGBTQ+ Ally?
How Medical AI Could Help Lift Our Community

April 10, 2025

By: Hassan Bencheqroun, MD, FCCP
LGBTQ+ at CHEST Interest Group

You deserve health care that sees you, hears you, and fights for you. Yet, as an LGBTQIA+ patient or clinician, you know the system often falls short—misgendering in charts, providers who are unfamiliar with gay or lesbian health needs, or the exhausting hunt for affirming care. Scrolling through social media, the frustration is palpable, with comments like, “My doctor Googled ‘nonbinary hormones’ during my appointment,” and “I had to teach my therapist about ace identities.” But what if artificial intelligence (AI) could help close these gaps—not perfectly, but progressively?

Let’s be clear: AI isn’t a savior. It’s a tool—one that mirrors our biases but also our potential. Here’s how to wield it wisely.


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Use cases: Where AI can lift the LGBTQIA+ community

1. Finding affirming providers
A trans man on social media shared how he used Gemini to draft a script for calling clinics: “Ask, ‘Does your practice have experience managing hormone therapy for transgender patients?’ Gemini helped me find local providers tagged in LGBTQIA+ health databases.” AI can scan directories, parse reviews for keywords like “gay-friendly,” or even generate questions to vet providers, such as, “How do you ensure inclusive intake forms?”

2. Decoding medical jargon
Medical language can alienate. A nonbinary medical student on LinkedIn uses ChatGPT to translate complex terms into plain, affirming language. Example: “Rewrite this explanation of PrEP without gendered assumptions.” For patients, this demystifies care. For allies, it’s a crash course in inclusive communication.

3. Navigating mental health
Gay folks face higher rates of anxiety and depression. Tools like Woebot or Wysa, while no substitute for therapy, offer LGBTQIA+-tailored coping strategies. One user posted, “It asked my pronouns first. Felt validating when humans forgot.”

4. Researching inclusive guidelines
AI platforms like Consensus.app can surface studies on LGBTQIA+ health disparities. A lesbian nurse practitioner on social media uses it to pull data on cardiovascular risks in gay women, noting, “Most guidelines don’t mention us. Now I bring evidence to admin.”

Try this: AI as your advocacy sidekick

Prompt Gemini or ChatGPT
“Generate a list of questions to ask a new provider about LGBTQIA+ inclusivity.”
“Summarize WPATH standards for transgender care in simple terms.”
“Help me find LGBTQIA+ clinical trials near me.”

Arm yourself with knowledge
Use AI to draft emails: “I’m a transgender patient seeking hormone replacement therapy. What’s your experience?” Or, research clinics tagged in databases like Health Professionals Advancing LGBTQ+ Equality’s Find a Provider tool.

The shadow side: AI can harm if we’re not careful

AI trained on biased data risks erasure. A gay man shared how a symptom checker dismissed his sexually transmitted infection concerns because it assumed heterosexuality. Another reported that ChatGPT misgendered them in draft letters. Always double-check outputs. Demand tools that prioritize LGBTQIA+ datasets—and call out companies that don’t.

For allies in health care: How to step up

Use AI to educate yourself: Ask ChatGPT questions like, “What are common barriers to care for asexual patients?” or “Generate inclusive language for discussing sexual health.”

Amplify gay voices: Follow AI researchers like @QueerInAI on social media. Share their work.

Audit your practice: Run your website text through ChatGPT with a prompt like, “Does this page assume heteronormativity?” If the answer is yes, revise your website.

The heart of it

This isn’t about outsourcing humanity. It’s about using AI to carve out space for humanity to thrive—to let gay patients breathe easier and clinicians stand taller. When a pansexual teen uses AI to find a supportive endocrinologist or a cisgender nurse uses Gemini to unlearn biases, that’s progress.

You don’t have to trust AI. Trust yourself—your resilience, your voice. Test these tools. Break them. Improve them. And remember: The goal isn’t just better algorithms. It’s a health care system that finally, fully, sees you.


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