PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 20260 citationsOpen Access

From Zadig to Artificial Intelligence: Clinical Observation, Epistemic Fragility, and the Future of Medical Reasoning

View Full Paper
AFAsmell Ramos Cabrera - (MD, MSc, FWACP)

Key Points

  • To examine the relationship between historical clinical reasoning and the challenges AI presents to modern medicine.
  • Analyzing the evolution of clinical reasoning from Voltaire to Sherlock Holmes and modern AI systems.
  • Discussing the implications of AI on diagnostic practices and sensory expertise in medicine.
  • Identifying key risks associated with the increasing use of AI in clinical environments.
  • Highlights the importance of traditional observational skills in the face of AI integration.
  • Raises concerns about algorithmic reliance affecting clinician's sensory skills.
  • Suggests that combining traditional skills with AI can enhance diagnostic accuracy.

Abstract

ABSTRACT: Background: The rapid integration of artificial intelligence (AI) into clinical practice has revived longstanding debates about the foundations of diagnostic reasoning. While AI systems rely on large datasets derived from past patients, the clinician’s craft remains rooted in direct observation, sensory examination, and contextual interpretation. Objective: To trace the intellectual lineage connecting Voltaire’s Zadig, the evolution of the clinical method, the deductive tradition exemplified by Sherlock Holmes, and the contemporary challenges posed by AI in medicine. Discussion: Voltaire’s Zadig anticipates the logic of modern clinical reasoning through its emphasis on inference from subtle signs. This evidential paradigm reappears in the anatomic and clinical revolution, bacteriology, and evidence‑based medicine, and is later embodied in Arthur Conan Doyle’s Sherlock Holmes, whose method was explicitly modelled on clinical diagnosis. AI introduces new fundamental risks, including algorithmic affixing, loss of sensory skills, and the perpetuation of historical preconceptions. The internist’s observational abilities remain essential for generating primary data and contextualizing algorithmic outputs. Conclusion: The future of medicine requires harmonizing traditional clinical skills with AI‑driven tools. The internist must remain a reader of signs, a critic of evidence, and a guardian of epistemic humility. KEYWORDS: Clinical reasoning, Artificial intelligence, Medical epistemology, Voltaire, Sherlock Holmes, Internal medicine, Diagnostic method.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Asmell Ramos Cabrera - (MD, MSc, FWACP) (2026) studied this question.

synapsesocial.com/papers/69aa70d6531e4c4a9ff5b0e1https://doi.org/10.5281/zenodo.18863430
Ask AI
Helpful
Bookmark
Share
View Full Paper