Healthcare · SOC 29-1212
AI is becoming a strong co-pilot for reading ECGs and imaging, but procedure execution and patient communication stay human.
Hands-on, interpersonal or high-stakes work AI struggles to replace.
Timeline: AI will reliably read routine ECGs and flag imaging abnormalities within 2–3 years; procedural and complex diagnostic cardiology remains physician-led through the 2030s.
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Healthcare
Healthcare
$133,260 median pay
$101,990 median pay
$128,790 median pay
Healthcare
AI job-risk card
Cardiologists is resilient on AIFear. Hands-on, interpersonal or high-stakes work AI struggles to replace.
AIFear.com
Our AI Fear Score for Cardiologists is 32/100 (Resilient). Hands-on, interpersonal or high-stakes work AI struggles to replace.
32 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Interpreting ECGs, echocardiograms, and cardiac tests, Calculating valve areas from flow velocity data, Answering general patient health questions, Advising on diet and lifestyle from standard guidelines. Harder to automate: Administering emergency cardiac care and interventions, Operating imaging equipment during complex procedures, Explaining nuanced results and options to patients, Surgical and catheter-based interventional procedures.
Lean into Interventional cardiology techniques, AI-augmented cardiac imaging, Heart failure management, Shared decision-making, Clinical research design. Consider roles such as Interventional cardiologist or Cardiac electrophysiologist or Heart failure specialist.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.