Healthcare · SOC 29-1222
AI image analysis is directly competitive with routine pathology reads, but complex case interpretation and autopsies remain physician work.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI diagnostic pathology tools are already FDA-cleared for specific tissue types; within 5 years routine reads will be AI-first, reshaping the role toward complex case oversight and molecular expertise.
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$95,410 median pay
$37,040 median pay
$73,850 median pay
$138,110 median pay
AI job-risk card
Physicians, Pathologists is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Physicians, Pathologists is 50/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
50 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: Writing pathology reports from standardized templates, Analyzing routine lab results and urine analyses, Reviewing and interpreting common case patterns, Supervising routine workflow and quality metrics. Harder to automate: Examining microscopic samples for rare or ambiguous findings, Performing autopsies and directing complex post-mortem analysis, Obtaining biopsy specimens through interventional procedures, Arbitrating edge cases and second opinions.
Lean into Digital and computational pathology, AI-assisted histology review, Molecular pathology, Quality assurance oversight, Rare disease diagnosis. Consider roles such as Molecular pathologist or Forensic pathologist or Pathology informaticist.
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.