Retrospective comparison of ChatGPT-4 treatment recommendations with real-world physician management in newly diagnosed hypertension: a single-centre study - Summary - MDSpire

Retrospective comparison of ChatGPT-4 treatment recommendations with real-world physician management in newly diagnosed hypertension: a single-centre study

  • By

  • Kadri Murat Gürses

  • Hüseyin Tezcan

  • Abdullah Tunçez

  • Yasin Özen

  • Muhammed Ulvi Yalçın

  • May 12, 2026

  • 0 min

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Objective:

To assess the concordance between ChatGPT-4’s antihypertensive treatment recommendations and real-world physician prescriptions, and to evaluate the association between treatment concordance and short-term blood pressure (BP) control.

Key Findings:
  • Substantial agreement between ChatGPT-4 and physician treatment choices (κ = 0.67).
  • Guideline-recommended dual therapy was selected in 74% of ChatGPT-4 and 67% of physician cases.
  • BP control achieved in 73% of concordant cases versus 40% of discordant cases.
  • Concordance was independently associated with BP control (adjusted OR = 3.8; 95% CI: 1.5–9.5).
  • ChatGPT-4 recommended fixed-dose combination therapy more frequently among uncontrolled cases.
Interpretation:

ChatGPT-4 demonstrated strong concordance with expert prescribing patterns, and concordant cases had higher rates of early BP control.

Limitations:
  • Recommendations were generated retrospectively and did not influence physician prescribing.
  • Findings should be interpreted as showing an association rather than causation.
  • Results warrant prospective validation and may not be generalizable due to the study's retrospective nature.
Conclusion:

ChatGPT-4's recommendations align closely with physician practices, indicating potential for AI in hypertension management, but further validation is needed.

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