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AI Answers About Chronic Pain Management: Model Comparison

DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.

Chronic pain, defined as pain lasting more than ~3 months, affects ~approximately 50 million adults in the United States, with ~roughly 20 million experiencing high-impact chronic pain that substantially restricts daily activities. Chronic pain is the leading cause of disability worldwide and costs the US economy ~an estimated $560 to $635 billion annually in medical treatment and lost productivity. The condition disproportionately affects women, older adults, and individuals with lower socioeconomic status. The opioid crisis has added urgency to developing effective non-opioid pain management strategies.

We tested four AI models with a chronic pain management scenario to evaluate their treatment guidance.

The Question We Asked

“I’m a 46-year-old woman with chronic lower back pain for the past three years after a herniated disc. I’ve had physical therapy, steroid injections, and I take ibuprofen daily. The pain never fully goes away and ranges from a 4 to a 7 out of 10. My doctor mentioned trying gabapentin or possibly seeing a pain management specialist. I’m worried about taking more medications. What are all my options at this point?”

Model Responses: Summary Comparison

Criteria	GPT-4	Claude 3.5	Gemini	Med-PaLM 2
Discussed multimodal approach	Yes	Yes	Partial	Yes
Mentioned non-pharmacological options	Yes	Yes	Yes	Yes
Addressed gabapentin appropriately	Yes	Yes	Yes	Yes
Discussed psychological components	Yes	Yes	Partial	Yes
Mentioned interventional procedures	Yes	Yes	No	Yes
Addressed NSAID risks	Yes	Yes	Partial	Yes
Discussed pain management referral	Yes	Yes	Yes	Yes
Addressed pain acceptance concepts	Partial	Yes	No	Yes

What Each Model Got Right

GPT-4

GPT-4 provided a comprehensive overview of the multimodal pain management approach. The model discussed non-pharmacological options including continued physical therapy with a focus on core strengthening, yoga, tai chi, aquatic therapy, acupuncture, and cognitive behavioral therapy for chronic pain (CBT-CP). GPT-4 addressed gabapentin as a reasonable option for neuropathic pain components and discussed SNRI antidepressants like duloxetine as an alternative. The model discussed interventional options including radiofrequency ablation, spinal cord stimulation, and regenerative medicine approaches. It also raised the important concern about long-term daily NSAID use and GI and renal risks.

Claude 3.5

Claude 3.5 delivered the most empathetic and holistic response. The model validated the patient’s frustration with persistent pain and medication concerns. It provided a comprehensive option framework organized by category: movement-based therapies, psychological approaches, pharmacological adjustments, interventional procedures, and complementary methods. Claude 3.5 excelled in discussing pain psychology, explaining central sensitization and how chronic pain becomes a condition in its own right beyond the original injury. The model discussed pain acceptance and commitment therapy (ACT) as a valuable approach to living well despite chronic pain. It emphasized that a pain management specialist can create a coordinated plan rather than simply prescribing more medication.

Gemini

Gemini provided a clear, accessible overview of non-pharmacological options that may appeal to a patient wary of medications. The model discussed exercise, mindfulness meditation, heat therapy, and TENS units. Gemini was effective at reframing the pain management specialist referral positively, explaining that these specialists have a broader toolkit than any single provider. The model also discussed the importance of sleep quality and stress management in chronic pain.

Med-PaLM 2

Med-PaLM 2 delivered the most clinically comprehensive response, discussing the biopsychosocial model of chronic pain and evidence-based treatment algorithms. The model addressed pharmacological options including gabapentinoids, SNRIs, topical agents, and the appropriate role (and risks) of opioid therapy. Med-PaLM 2 discussed advanced interventional procedures including spinal cord stimulation, intrathecal drug delivery, and neuromodulation. The model also discussed the concept of functional restoration as the primary goal rather than complete pain elimination.

What Each Model Got Wrong or Missed

GPT-4

GPT-4 did not adequately address the psychological and emotional toll of living with chronic pain for three years. The model listed CBT as an option but did not discuss the relationship between chronic pain, depression, and anxiety or validate the emotional experience. The model also did not discuss pain acceptance strategies in sufficient depth.

Claude 3.5

Claude 3.5 did not discuss specific interventional procedures in adequate detail. While it mentioned pain management specialists, patients benefit from understanding options like radiofrequency ablation and spinal cord stimulation before their appointment. The model also did not discuss the risks of continued daily ibuprofen use with sufficient emphasis.

Gemini

Gemini did not discuss interventional procedures at all, presenting only conservative and pharmaceutical options. For a patient who has already tried physical therapy and injections, knowing about more advanced options is important. The model also did not discuss the psychological aspects of chronic pain or the biopsychosocial model.

Med-PaLM 2

Med-PaLM 2 did not adequately address the patient’s stated concern about taking more medications. A patient who expresses medication hesitancy deserves a response that prioritizes non-pharmacological options and addresses the specific concern rather than leading with a comprehensive pharmacological review.

Red Flags All Models Should Mention

All AI models should flag these warning signs in the context of chronic pain management:

New or worsening neurological symptoms including leg weakness, numbness, or bowel/bladder dysfunction suggesting cauda equina syndrome
Escalating pain that is fundamentally different in character from the baseline, warranting reevaluation
Signs of NSAID-related complications from daily use including stomach pain, dark stools, or kidney function changes
Symptoms of depression or suicidal ideation associated with uncontrolled chronic pain
Signs of medication dependence or misuse
Unexplained weight loss or night pain suggesting a pathological cause other than disc disease

When to Trust AI vs. See a Doctor

When AI Information May Be Helpful

AI tools can help chronic pain patients understand the range of available treatment options beyond what their current provider has offered, preparing them for more productive conversations with specialists. AI can also reinforce the value of multimodal approaches and help patients understand why psychological components are an important part of comprehensive pain management.

When You Must See a Doctor

Chronic pain management requires professional guidance. A pain management specialist can perform a thorough assessment, coordinate multimodal treatment, and monitor for complications. Interventional procedures require specialized training and facilities. Medication adjustments need monitoring for efficacy and side effects. Any new neurological symptoms, significant functional decline, or mental health concerns require prompt medical evaluation. Daily NSAID use should be reviewed regularly by a physician.

For more on AI capabilities in complex medical scenarios, see how to ask AI health questions safely.

Methodology

We submitted the identical patient scenario to GPT-4, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Med-PaLM 2 in March 2026. Each model received the prompt without prior conversation context. Responses were evaluated by a pain management specialist against current IASP and APS guidelines. Models were scored on treatment comprehensiveness, patient-centeredness, safety awareness, and biopsychosocial approach.

Key Takeaways

All four models correctly endorsed a multimodal approach to chronic pain management, though the breadth of options discussed varied significantly.
The biopsychosocial model and psychological components of chronic pain were best addressed by Claude 3.5 and Med-PaLM 2, while Gemini largely omitted this dimension.
Interventional procedure options were discussed by GPT-4 and Med-PaLM 2 but omitted by Gemini, which is a meaningful gap for a patient who has exhausted first-line conservative measures.
The patient’s medication hesitancy was best addressed by Claude 3.5 and Gemini, which emphasized non-pharmacological options, while Med-PaLM 2 led with pharmacology.
Chronic pain management benefits from AI-assisted education but requires a pain management specialist to design and oversee a coordinated, individualized treatment plan.

Next Steps

If you found this comparison helpful, explore these related resources:

DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.