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How to choose an AI app for chronic pain

Ten questions to ask before you trust an app with your pain, your mood, or your data.

Karuna LabsUpdated 2026-10-216 min read
The short answer

Choose an AI app for chronic pain the way you would choose a clinician: check what approach it uses, what evidence supports it, and how it handles risk. The ten questions are: does it follow a named, evidence-based approach such as ACT or CBT; is there published evidence; does it hand off to humans in a crisis; does it challenge you or only agree; does it encourage activity rather than avoidance; does it limit dependence; who sees your data and can you delete it; is a clinician involved; does it make honest claims; and does it fit alongside your care team. Red flags include promises to cure pain and designs that keep you in the app as long as possible.

Key facts

There are now hundreds of apps that promise to help with pain, mood, or both, and a growing number put an AI chatbot at the center. Some are carefully built. Many are not. The app store will not tell you which is which. These ten questions will.

The ten-point checklist

1. Does it follow a named, evidence-based approach?

Look for acceptance and commitment therapy, CBT for chronic pain, pain neuroscience education, or pacing, named explicitly. “Wellness,” “mindfulness-inspired,” or “AI-powered support” are not approaches. For chronic pain, ACT and CBT are the two psychological therapies clinical guidelines recommend. See what ACT is.

2. Is there evidence for this app, not just the approach?

An app can use a proven therapy and still not work, because people stop using it. Ask whether the app itself has been tested in a study, and against what. A trial against a waitlist is a start; a trial against an active treatment is stronger. Many apps have no published evidence at all, which does not make them useless, but does make claims of effectiveness unsupported.

3. What does it do in a crisis?

This is the most important question. Before you rely on any app, check its stated crisis behavior. It should recognize risk, give the correct crisis line for your country, encourage contact with a person, and never try to manage a crisis on its own. When researchers tested 29 chatbots, none responded adequately to escalating suicide risk. If an app cannot tell you clearly what it does here, look elsewhere.

4. Does it ever disagree with you?

AI models lean toward agreeing with users. In pain care, a tool that agrees with every avoidance keeps you stuck. Test it: tell it you plan to skip something because of pain, and see whether it helps you find a smaller version or simply agrees. See is AI therapy safe?

5. Does it move you toward life, or just toward comfort?

Good pain care encourages paced activity, values-based action, and a bigger life alongside pain. An app that only offers soothing, rest, and distraction may feel good and change nothing. Look for features around pacing, valued actions, and gradual exposure to what pain has taken away.

6. Does it limit dependence?

Heavier daily chatbot use has been linked with more loneliness. Look for apps that keep sessions short, encourage contact with people, and are honest about being software. Be wary of streaks, guilt notifications, unlimited chat, and any app that seems designed to keep you talking as long as possible.

7. Who sees your data, and can you delete it?

Most consumer apps are not covered by HIPAA. Read the privacy policy for three things: whether conversations are used to train AI models, whether data is shared with advertisers or third parties, and how to delete your data. In 2023 the FTC ordered BetterHelp to pay $7.8 million after alleging it shared users' health information with advertising platforms. A clear, short privacy policy is a good sign.

8. Is a clinician involved?

Ask who designed the clinical content, whether clinicians review safety, and whether the app can share progress with your own care team if you choose. The strongest evidence for AI in pain care comes from systems where AI extends a clinician rather than replacing one.

9. Are its claims honest?

Red flags: promises to cure or eliminate pain, claims to replace therapy or medication, before-and-after stories instead of data, or presenting the chatbot as a therapist. Good apps say what they are, what they are not, and what the evidence does and does not show.

10. Does it fit with your care?

The best app is one your clinician knows about and that supports the plan you already have. If it contradicts your care team, or encourages you to stop treatment, stop using it.

Quick reference

Green flags and red flags at a glance.
Green flagsRed flags
Named approach: ACT, CBT for pain, pacingVague “AI wellness” language
Published evidence for the app itselfTestimonials instead of data
Clear crisis handoff to humans and crisis linesNo stated crisis behavior
Encourages activity and values-based actionOnly soothing, rest, or distraction
Short sessions, nudges toward peopleStreaks, guilt, unlimited chat
Short, clear privacy policy with deletionData used for ads or model training by default
Clinician involvement and care-team sharingPresents itself as a therapist
Honest about limitsPromises to cure pain
Try this today

Score one app you already use

Take an app on your phone right now and give it one point for each of the ten questions it passes. Seven or more is a reasonable companion to your care. Four to six, use it for narrow tasks only. Three or fewer, consider whether it is helping or just keeping you company.

How Cindra measures up

We wrote this checklist so people can hold every app, including ours, to it. Cindra follows acceptance and commitment therapy for chronic pain. It is designed to hand off to humans and crisis lines when risk appears, to encourage paced, values-based action rather than agree with avoidance, to keep sessions short and point toward people, and to share progress with your care team only with your permission. It does not yet have published trial results of its own, and we will say so until it does. It is invite-only while we build it with early members.

Questions people ask

What is the best app for chronic pain?

There is no single best app. Look for one that follows an evidence-based approach such as ACT or CBT for chronic pain, has some published evidence, handles crises by pointing to humans, protects your data, and fits with your care team. The ten-point checklist on this page helps compare options.

Are AI mental health apps safe?

Safety varies widely. The main risks are poor crisis handling, excessive agreement, dependence, and weak privacy. Check how an app handles each before relying on it, and keep a human crisis plan regardless.

Do chronic pain apps actually work?

Internet-delivered ACT and CBT programs for chronic pain have evidence for improving function and mood. Most individual apps have not been tested themselves, and many people stop using apps quickly. Choose one with a named approach and a reason you will keep using it.

Are mental health apps covered by HIPAA?

Usually not, unless the app is provided by or on behalf of your health care provider or health plan. Most consumer apps fall under general consumer protection law instead. Read the privacy policy for training use, advertising, and deletion.

Should I tell my doctor I use an AI app?

Yes. Your clinician can help you use it well, spot conflicts with your treatment, and make sure it supports rather than replaces your care.

References

  1. Martinez-Calderon J et al. Acceptance and commitment therapy for chronic pain: an overview of systematic reviews with meta-analysis of randomized clinical trials. J Pain, 2024;25(3):595–617. PMID 37748597
  2. National Institute for Health and Care Excellence. Chronic pain (primary and secondary) in over 16s: assessment of all chronic pain and management of chronic primary pain. NICE guideline NG193, 2021. nice.org.uk/guidance/ng193
  3. Pichowicz W, Kotas M, Piotrowski P. Performance of mental health chatbot agents in detecting and managing suicidal ideation. Sci Rep, 2025;15:31652. PMC12391427
  4. Cheng M, Lee C, Khadpe P, Yu S, Han D, Jurafsky D. Sycophantic AI decreases prosocial intentions and promotes dependence. 2025; published in Science, 2026. arXiv:2510.01395
  5. Fang CM, Phang J et al. How AI and human behaviors shape psychosocial effects of chatbot use: a longitudinal randomized controlled study; and OpenAI/MIT Media Lab affective-use study. March 2025. Reported by Fortune
  6. Federal Trade Commission. FTC gives final approval to order banning BetterHelp from sharing sensitive health data for advertising. July 2023. ftc.gov
  7. American Psychological Association. Health advisory: use of generative AI chatbots and wellness applications for mental health. November 2025. apa.org
  8. Piette JD et al. Patient-centered pain care using artificial intelligence and mobile health tools: a randomized comparative effectiveness trial. JAMA Intern Med, 2022;182(9):975–983. PMID 35939288
Cindra

A daily companion for the hard days and the ordinary ones.

Cindra is an AI companion from Karuna Labs built around acceptance and commitment therapy. It checks in with you each day, helps you notice what pain is pulling you away from, and nudges you back toward the things that matter. Cindra is invite-only while we build it with early members.

Join the waitlist

This article is for general education and is not medical advice. Chronic pain deserves a proper assessment. If your pain is new, changing, or comes with red-flag symptoms like numbness, weakness, fever, or loss of bladder or bowel control, see a clinician promptly.