Will AI replace Neurologists?

AI can do 67% of the work Neurologists do at least twice as fast. People already use it for 1 of their 24 tasks, while 13 more are ready but barely used so far. 10 still need a person.

AI is already doing this1 · 11% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Interview patients to obtain information, such as complaints, symptoms, medical histories, and family histories.Mostly assisted11% of time

AI could do this next13 · 56% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Prepare, maintain, or review records that include patients' histories, neurological examination findings, treatment plans, or outcomes.13% of time
  • Perform or interpret the outcomes of procedures or diagnostic tests, such as lumbar punctures, electroencephalography, electromyography, and nerve conduction velocity tests.7% of time
  • Communicate with other health care professionals regarding patients' conditions and care.6% of time
  • Inform patients or families of neurological diagnoses and prognoses, or benefits, risks and costs of various treatment plans.5% of time
  • Develop treatment plans based on diagnoses and on evaluation of factors, such as age and general health, or procedural risks and costs.5% of time
  • Interpret the results of neuroimaging studies, such as Magnetic Resonance Imaging (MRI), Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET) scans.4% of time
  • Participate in continuing education activities to maintain and expand competence.3% of time
  • Participate in neuroscience research activities.2% of time
  • Counsel patients or others on the background of neurological disorders including risk factors, or genetic or environmental concerns.2% of time
  • Advise other physicians on the treatment of neurological problems.2% of time
  • Order or interpret results of laboratory analyses of patients' blood or cerebrospinal fluid.2% of time
  • Coordinate neurological services with other health care team activities.2% of time
  • Refer patients to other health care practitioners as necessary.1% of time

Still needs a person10 · 33% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Examine patients to obtain information about functional status of areas, such as vision, physical strength, coordination, reflexes, sensations, language skills, cognitive abilities, and mental status.9% of time
  • Prescribe or administer medications, such as anti-epileptic drugs, and monitor patients for behavioral and cognitive side effects.5% of time
  • Diagnose neurological conditions based on interpretation of examination findings, histories, or test results.5% of time
  • Identify and treat major neurological system diseases and disorders, such as central nervous system infection, cranio spinal trauma, dementia, and stroke.5% of time
  • Perform specialized treatments in areas such as sleep disorders, neuroimmunology, neuro-oncology, behavioral neurology, and neurogenetics.3% of time
  • Provide training to medical students or staff members.2% of time
  • Supervise medical technicians in the performance of neurological diagnostic or therapeutic activities.1% of time
  • Prescribe or administer treatments, such as transcranial magnetic stimulation, vagus nerve stimulation, and deep brain stimulation.1% of time
  • Order supportive care services, such as physical therapy, specialized nursing care, and social services.1% of time
  • Determine brain death using accepted tests and procedures.under 1% of time

Your week is not the average

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What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 8 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 13 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 10 tasks that stay human. This is where your judgment, skill and relationships matter most.
Anesthesiologists38%Cardiologists53%Dermatologists34%Emergency Medicine Physicians64%Family Medicine Physicians58%General Internal Medicine Physicians39%

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