The conversation around artificial intelligence in medicine has become almost impossible to avoid. Every conference, every trade publication, every investor pitch deck leads with AI. And yet the actual application of AI in the day-to-day pain clinic remains poorly understood by most practicing physicians.
I want to share where I see AI making a real, practical difference right now — and where the hype still outpaces the reality.
Where AI is already working
Imaging analysis and triage. AI-powered tools are getting remarkably good at flagging significant pathology on MRI and CT scans. For a high-volume pain practice, this means faster turnaround on identifying surgical candidates, red-flag conditions, and patients who need immediate intervention versus conservative management. It does not replace the radiologist, but it does help us prioritize.
Prior authorization automation. This is where AI might have the most immediate impact on physician burnout. The prior-auth process in pain management is uniquely punishing — insurers routinely deny first-line interventional procedures, and the appeal cycle consumes hours of staff time. AI systems that can auto-populate clinical documentation, match procedure codes to evidence-based criteria, and generate appeals are already saving practices real money and real time.
Predictive analytics for outcomes. We are beginning to see models that can predict which patients are most likely to respond to specific interventions — spinal cord stimulation, for example — based on a combination of demographic, clinical, and imaging data. This is early-stage, but the potential to reduce trial-and-error treatment is enormous.
Where the hype still exceeds reality
Autonomous diagnosis. No AI system is ready to independently diagnose and develop a treatment plan for a patient with complex chronic pain. Pain is multifactorial — biomechanical, neurological, psychological, social. The clinical interview, the physical exam, the nuance of interpreting imaging in context — these are irreducibly human skills for the foreseeable future.
Robotic-assisted procedures. Surgical robotics in spine are advancing, but for the interventional procedures we do in the pain clinic — needle-based, fluoroscopy-guided, requiring real-time tactile feedback — full autonomy is decades away if it arrives at all. AI may assist with navigation and targeting, but the physician’s hands are not being replaced.
My take
I am a realist about AI, not a skeptic. The practices that embrace these tools thoughtfully — automating the administrative burden, improving diagnostic speed, personalizing treatment selection — will outperform those that do not. But the physicians who abdicate clinical judgment to algorithms will harm patients. The answer, as with most things in medicine, is balance.
Adopt the tools. Automate the tedium. But never stop thinking.