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AI Answers About Phantom Limb Pain: 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.

Phantom limb pain (PLP) affects ~approximately 60 to 80 percent of amputees at some point following limb loss, making it one of the most common complications of amputation. In the United States, ~approximately 185,000 amputations are performed annually, and ~roughly 2 million people are living with limb loss. Phantom limb pain can begin within the first week after amputation or develop months to years later. The pain ranges from mild, intermittent tingling to severe, debilitating episodes that significantly impair quality of life. Despite its prevalence, PLP remains challenging to treat, with no single therapy providing consistent relief across patients.

We tested four AI models with a phantom limb pain scenario to evaluate their understanding and management guidance.

The Question We Asked

“I’m a 55-year-old man and I had my right leg amputated below the knee eight months ago due to complications from diabetes. I keep feeling intense pain in the foot that’s no longer there. It feels like burning and crushing, and sometimes like my toes are being bent backward. The pain comes in episodes lasting minutes to hours. My prosthetist mentioned mirror therapy. What is phantom limb pain, and what treatments actually help?”

Model Responses: Summary Comparison

Criteria	GPT-4	Claude 3.5	Gemini	Med-PaLM 2
Explained PLP mechanism	Yes	Yes	Partial	Yes
Validated the pain as real	Yes	Yes	Yes	Yes
Discussed mirror therapy	Yes	Yes	Yes	Yes
Mentioned pharmacological options	Yes	Yes	Yes	Yes
Discussed neuromodulation	Yes	Yes	No	Yes
Addressed psychological impact	Partial	Yes	Partial	Partial
Mentioned stump care connection	Yes	Yes	Yes	Yes
Discussed graded motor imagery	Yes	Yes	No	Yes

What Each Model Got Right

GPT-4

GPT-4 provided a strong explanation of phantom limb pain, describing how the brain retains a neural map of the amputated limb and continues generating pain signals. The model explained cortical reorganization, where the brain area formerly devoted to the missing limb is invaded by adjacent cortical regions, contributing to pain perception. GPT-4 discussed mirror therapy in detail, explaining how visual feedback from the intact limb can trick the brain into perceiving normal movement of the phantom limb, reducing pain. The model covered pharmacological options including gabapentin, pregabalin, TCAs, SNRI antidepressants, and NMDA receptor antagonists like ketamine. It also discussed transcutaneous electrical nerve stimulation (TENS) and spinal cord stimulation.

Claude 3.5

Claude 3.5 delivered the most compassionate and comprehensive response. The model opened by validating that phantom limb pain is absolutely real, not imaginary, and that the patient is not alone in this experience. Claude 3.5 explained mirror therapy with clear instructions on how to set it up at home and what to expect during sessions. The model discussed graded motor imagery (GMI), a broader therapeutic program that includes laterality recognition, motor imagery, and mirror therapy as sequential stages. Claude 3.5 addressed the emotional and psychological impact of both limb loss and phantom pain, recommending support groups and counseling alongside physical treatments. The model discussed the role of prosthetic fit in managing residual limb pain that can trigger phantom sensations.

Gemini

Gemini correctly explained phantom limb pain in accessible terms, using helpful analogies to describe the brain-body disconnect. The model validated the patient’s experience and provided clear explanations of mirror therapy with practical implementation advice. Gemini discussed medication options including gabapentin and amitriptyline, and emphasized the importance of a multidisciplinary approach involving the prosthetist, pain specialist, and rehabilitation team.

Med-PaLM 2

Med-PaLM 2 provided the most scientifically detailed response, discussing peripheral, spinal, and supraspinal mechanisms of phantom limb pain. The model discussed neuroplasticity and maladaptive cortical reorganization as central to the condition. Med-PaLM 2 provided the most comprehensive treatment review including pharmacological agents (gabapentinoids, TCAs, NMDA antagonists, opioids), interventional procedures (nerve blocks, stump revision, targeted muscle reinnervation), neuromodulation (TENS, spinal cord stimulation, deep brain stimulation), and emerging treatments including virtual reality therapy and brain-computer interfaces.

What Each Model Got Wrong or Missed

GPT-4

GPT-4 did not adequately address the emotional and psychological dimensions of living with phantom limb pain. The grief of limb loss, the frustration of pain in a body part that no longer exists, and the isolation that can result from chronic pain all deserve acknowledgment. The model also did not discuss virtual reality therapy, which has shown promising results.

Claude 3.5

Claude 3.5 did not discuss advanced interventional options like targeted muscle reinnervation (TMR) or peripheral nerve stimulation, which are emerging as important treatment options for refractory PLP. For patients whose pain does not respond to conservative measures, these options represent meaningful hope.

Gemini

Gemini did not discuss neuromodulation options such as TENS, spinal cord stimulation, or peripheral nerve stimulation. The model also omitted graded motor imagery and virtual reality therapy, providing a limited treatment landscape. The neurophysiological explanation of PLP was superficial compared to the other models.

Med-PaLM 2

Med-PaLM 2 did not provide practical, actionable self-care guidance. The model discussed treatments from a clinical perspective but did not address what the patient can do at home today, such as beginning mirror therapy, managing triggers, and employing relaxation techniques during pain episodes. The model’s emotional tone was also insufficient for a condition with such profound personal impact.

Red Flags All Models Should Mention

All AI models should flag these concerns in the context of phantom limb pain:

Signs of residual limb complications including skin breakdown, infection, or neuroma formation, which can worsen phantom pain
Depression or suicidal ideation associated with chronic pain and limb loss
Phantom pain significantly worsening after a period of stability, which may indicate residual limb pathology or prosthetic fitting issues
Signs of medication overuse or dependence
Circulatory problems in the remaining limb (particularly relevant for diabetic amputees)
Social isolation or functional decline due to unmanaged pain

When to Trust AI vs. See a Doctor

When AI Information May Be Helpful

AI tools can help amputees understand that phantom limb pain is a recognized, real medical condition with physiological explanations, reducing the stigma and self-doubt many patients experience. AI can introduce treatment options like mirror therapy that patients can discuss with their care team and begin at home. AI can also connect patients with the concept of multidisciplinary pain management.

When You Must See a Doctor

Phantom limb pain management should involve a multidisciplinary team including a pain specialist, rehabilitation physician, prosthetist, and mental health professional. Medication selection requires consideration of the patient’s other conditions, particularly diabetes. Interventional procedures and neuromodulation require specialist evaluation. Residual limb assessment is needed when phantom pain patterns change. Psychological support for grief and chronic pain management requires professional guidance.

For more on AI’s role in pain management, visit our medical AI accuracy page.

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 rehabilitation medicine specialist and a pain management specialist against current AAPM&R and IASP guidelines for phantom limb pain. Models were scored on mechanistic explanation, treatment comprehensiveness, practical guidance, and psychosocial sensitivity.

Key Takeaways

All four models correctly explained phantom limb pain as a real neurological phenomenon and validated the patient’s experience, which is the most important foundational element.
Mirror therapy was discussed by all models, though Claude 3.5 provided the most practical implementation guidance for home use.
Treatment comprehensiveness varied dramatically, from Gemini’s limited conservative options to Med-PaLM 2’s exhaustive review including emerging interventions.
The emotional dimension of living with phantom limb pain and limb loss was best addressed by Claude 3.5, while GPT-4 and Med-PaLM 2 underemphasized this critical aspect.
Phantom limb pain management benefits from multidisciplinary professional care, and AI should help patients understand available options while directing them to appropriate specialists.

Next Steps

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