---
title: From Hippocrates to Artificial Intelligence
date: 2026-05-27T14:43:16Z
modified: 2026-05-27T14:43:18Z
permalink: "https://www.micheledpierri.com/2026/05/27/from-hippocrates-to-artificial-intelligence/"
type: post
status: publish
excerpt: ""
wpid: 2774
categories:
  - Art
  - Medicine
tags:
  - Art
  - Medicine
  - History of medicine
  - Literature
featured_image: "https://www.micheledpierri.com/wp-content/uploads/2026/05/Hippocrates_and_AI.png"
featured_image_alt: a solemn council / meeting of physicians, gathered around a large wooden table, each doctor representing a different era of medical “seeing”.
timestamp: 2026-05-27T14:43:18Z
---

I am a cardiac surgeon. My work is rooted in the operating room, in clinical decisions, and in the care of individual patients. At the same time, I have become deeply interested in medical data, statistics, coding, and artificial intelligence. My fascination with the history of medicine, however, has remained just as strong. At first glance, these interests may appear distant: ancient medical texts on one side, machine learning pipelines on the other. Yet the more I have studied the history of medicine, the more that separation has dissolved.

Medicine has always been technological.

Not only because it uses instruments, but because every era has developed new ways of _seeing_. The Hippocratic physician used observation as a technology of attention. Vesalius used dissection and illustration to reopen the human body to direct evidence. Harvey used experiment and quantitative reasoning to transform the heart from a symbolic organ into a pump. Morgagni connected symptoms to anatomical lesions. Virchow moved disease into the cell. Laennec made the body audible through the stethoscope. Lister and Koch made infection visible through the logic of germs. Modern clinicians use laboratory data, imaging, risk scores, electronic records, medical coding, and now artificial intelligence.

Each era had its own way of making the invisible visible.

This is why the great books of medicine are not simply historical monuments. They are records of changing perception. They show how physicians learned to look differently: at the patient, at the body, at disease, at evidence, and eventually at data.

Today, when we apply code, statistics, and machine learning to medicine, we are not abandoning the medical tradition. We are entering a new phase of it.

> **Thesis:** the history of medicine can be read as a history of _technologies of perception_—instruments and methods that repeatedly change what counts as evidence, and therefore what can be seen.

In what follows, I sketch a compressed itinerary from Hippocratic bedside observation to digital medicine, ending with artificial intelligence as another instrument of visibility—powerful, but not self-justifying.

## Medicine as a History of Seeing



| Historical era | Dominant instrument or method | What became visible |
| --- | --- | --- |
| Hippocratic medicine | Bedside observation | The clinical course of disease |
| Classical and medieval medicine | Compilation, commentary, classification | Medical knowledge as an organized tradition |
| Renaissance anatomy | Dissection and anatomical illustration | The structure of the human body |
| Early modern physiology | Experiment and quantitative reasoning | The dynamic function of organs |
| Pathological anatomy | Autopsy and clinicopathological correlation | The anatomical seat of disease |
| Clinical medicine | Bedside examination, auscultation, teaching hospital | The patient as a clinical pattern |
| Cellular pathology | Microscope and histology | Disease at the cellular level |
| Microbiology and antisepsis | Culture, staining, germ theory, surgical hygiene | Invisible infectious agents |
| Modern internal medicine | Laboratory data, imaging, textbooks, evidence | The measurable patient |
| Digital medicine | Electronic health records, coding, statistics, AI | Patterns, predictions, trajectories, and hidden phenotypes |

To read the rest of this essay, keep three recurring moves in mind:

- **A new interface** (a tool, a method, a representational technology).
- **A new object of knowledge** (what becomes visible: lesion, cell, microbe, trajectory).
- **A new risk of reduction** (what is lost when the new object becomes the whole story).

## The Hippocratic Tradition: Seeing the Patient

The **Hippocratic Oath** is probably the most recognizable medical text in Western history. Its authorship and precise date remain uncertain; attributing it to Hippocrates as a single identifiable author is, at best, a useful convention. Still, its symbolic weight is considerable: it presents medicine not merely as a technical practice, but as a moral profession governed by obligations toward patients, teachers, colleagues, and the wider community of physicians. The Oath is commonly dated to the classical Greek period, though its exact origin continues to be debated. ([einsteinmed.edu](https://einsteinmed.edu/UPLOADEDFILES/EJBM/PAGE41_PAGE44.PDF))

![The Oath of Hippocrates](https://www.micheledpierri.com/wp-content/uploads/2026/05/The-Oath-Of-Hippocrates-1-673x1024.jpg)

Yet the Oath alone does not capture Hippocratic medicine. The broader **Hippocratic Corpus** includes writings on prognosis, epidemics, environment, diet, and clinical observation. Illness becomes, in these texts, something that can be observed, described, compared, and followed over time. Medicine here begins to separate itself from magical or purely religious explanations of disease.

This is the first great transformation of medical vision: the patient becomes a temporal phenomenon. Disease is not only a state; it is a course. The physician must watch, remember, compare, and anticipate.

In that sense, the Hippocratic physician already thinks in trajectories.

## Celsus, Dioscorides, Galen, and Avicenna: Seeing Medicine as Organized Knowledge

Aulus Cornelius Celsus’ **De Medicina**, written in the first century CE, is one of the most important surviving Latin medical texts from antiquity. It covers general medicine, pharmacology, surgery, and bone disease, preserving one of the great organized accounts of ancient medical knowledge. Celsus is also associated with the classical signs of inflammation: redness, swelling, heat, and pain. ([historyofinformation.com](https://www.historyofinformation.com/detail.php?entryid=2111))

In **De Materia Medica**, Dioscorides organized medicinal substances derived from plants, minerals, and animals. For centuries, this kind of writing shaped the way physicians and healers thought about therapy: treatment was inseparable from careful observation of the natural world.

Galen then created one of the most powerful medical systems in history. His works integrated anatomy, physiology, humoral theory, therapeutics, and philosophy into a structure coherent enough to dominate European and Islamic medicine for centuries. Even when later physicians corrected him, they typically did so by first arguing with him. His importance lies not only in what he got right, but in the intellectual architecture he provided.

Avicenna’s **Canon of Medicine**, completed in the early eleventh century, became one of the most influential medical textbooks ever written. Through Latin translation it entered European medical education and remained authoritative for centuries. ([biodiversitylibrary.org](https://www.biodiversitylibrary.org/bibliography/32770))

This era teaches a lesson that is easy to overlook. Before medicine can become experimental, it must become transmissible. Knowledge has to be collected, ordered, taught, and criticized.

In modern terms, this is the age of medical databases before databases existed.

## Vesalius: Seeing the Body

The publication of Andreas Vesalius’ **De humani corporis fabrica libri septem** in 1543 marks one of the decisive moments in the history of medicine. The work was not simply an anatomical atlas. It changed the authority structure of medical knowledge. The National Library of Medicine presents Vesalius’ _Fabrica_ as a landmark of historical anatomy, notable for its detailed anatomical woodcuts and its insistence on direct engagement with the dissected body. ([nlm.nih.gov](https://www.nlm.nih.gov/exhibition/historicalanatomies/vesalius_home.html))

![Andreas Vesalius' De humani corporis fabrica libri septem](https://www.micheledpierri.com/wp-content/uploads/2026/05/Vesali-1024x768.jpg)

http://www.metmuseum.org/Collections/search-the-collections/358129

For centuries, anatomy had been mediated through ancient authorities, Galen above all. Vesalius did not merely add new details. He placed the human body itself back at the center of medical truth.

The intellectual gesture was radical: when the text and the body disagree, the body must be observed again.

This is one of the deep roots of modern medicine. The physician is no longer only a reader of inherited knowledge. He becomes an observer, a dissector, a verifier. Vesalius transformed anatomy into a visual and empirical science.

In the history of medical seeing, this is the moment when the body becomes an object of direct evidence.

## Harvey: Seeing Function

In 1628, William Harvey published **Exercitatio Anatomica de Motu Cordis et Sanguinis in Animalibus**, commonly known as **De Motu Cordis**. The work demonstrated the circulation of blood and the pumping function of the heart, and it is widely regarded as one of the foundational texts of modern physiology. ([PMC](https://pmc-ncbi-nlm-nih-gov.ezproxy.cad.univpm.it/articles/PMC2776239))

Harvey’s importance is not only cardiovascular. It is methodological.

He did not simply describe the heart. He reasoned about it quantitatively. He asked how much blood the heart could eject per beat, whether the older Galenic model was physically plausible, and how venous valves behaved under pressure. He used observation, experiment, calculation, and mechanical reasoning together, in a way that still feels unmistakably modern.

For a cardiac surgeon, Harvey is not a remote historical figure. He belongs to the conceptual ancestry of hemodynamics, cardiac output, venous return, and circulatory physiology. I find it striking, when reviewing post-bypass hemodynamic data, that the fundamental framework we use is still recognizably Harveyan, nearly four centuries later.

Vesalius taught medicine to see structure. Harvey taught medicine to see function.

## Boerhaave and the Teaching Hospital: Seeing the Clinical Pattern

Herman Boerhaave is often associated with the rise of clinical teaching in early eighteenth-century Leiden. The text in the original list, **Observationes Medicae**, is less representative of his historical role than **Institutiones medicae** and **Aphorismi de cognoscendis et curandis morbis**, published in 1708 and 1709 respectively. Britannica lists these among his principal works and emphasizes their wide use during and after his lifetime. ([britannica.com](https://www.britannica.com/biography/Herman-Boerhaave))

Boerhaave’s significance lies in the transformation of medicine into a teachable clinical discipline. The patient was no longer only an individual case, nor only an illustration of a theoretical system. The patient became part of a reproducible educational method.

The hospital became a classroom. The bedside became a site of disciplined observation. The clinical case became a unit of knowledge.

This shift still shapes how medicine is practiced and taught today, even when we no longer trace it back to Leiden. Modern ward rounds, case presentations, morbidity and mortality conferences, and clinical reasoning exercises all preserve something of this tradition, often without anyone in the room being aware of it.

## Morgagni: Seeing the Lesion

Giovanni Battista Morgagni’s **De sedibus et causis morborum per anatomen indagatis**, published in 1761, is one of the foundational works of pathological anatomy. Its central move was to correlate clinical histories with post-mortem anatomical findings. Disease was no longer only a general disturbance of the body. It had a seat. It could be localized. ([sciencedirect.com](https://www.sciencedirect.com/science/article/abs/pii/S0046817713001986))

This changed clinical reasoning profoundly.

Symptoms became clues pointing toward internal lesions. Autopsy became a method for verifying diagnosis. The clinic and the dissecting room became connected.

Modern imaging still operates inside this Morgagnian framework. CT, MRI, echocardiography, angiography, PET, and ultrasound all continue to ask a very old question in technologically new ways:

Where is the lesion?

Morgagni taught medicine to connect the story of the patient with the geography of the body.

## Jenner: Seeing Prevention

Edward Jenner’s **An Inquiry into the Causes and Effects of the Variolae Vaccinae**, published in 1798, belongs to another great transformation: prevention becomes one of medicine’s most powerful instruments. Jenner’s work on cowpox and smallpox vaccination did not rest on modern immunology, which did not yet exist as a discipline, but it opened the path toward vaccination, public health, and the idea that disease could be prevented before it appeared. ([resource.nlm.nih.gov](https://collections.nlm.nih.gov/catalog/nlm:nlmuid-2559001R-bk))

This is a different kind of medical vision. The physician is no longer looking only at the sick body. He is looking at future disease.

Vaccination changes the temporal structure of medicine. The target is not only the present lesion, but the avoided event. A prevented death, a prevented epidemic, a prevented complication: these are invisible successes. And precisely because they are invisible, they tend to be undervalued, both clinically and politically.

Modern risk prediction, screening, population health, and artificial intelligence all inherit this preventive logic, whether or not we acknowledge it explicitly.

## Laennec: Hearing the Invisible

René Laennec’s **De l’auscultation médiate**, published in 1819, introduced the stethoscope and transformed thoracic examination. The body became audible in a new way. Sounds from the chest could now be correlated with internal pathology, particularly diseases of the heart and lungs. ([ajconline.org](https://www.ajconline.org/article/S0002-9149%2816%2931393-5/pdf))

The stethoscope did not replace clinical judgment. It extended it. It created a new interface between the physician and the hidden body.

Auscultation also changed the ritual of the clinical encounter. The physician listened not only to the patient’s words, but to the patient’s organs. There is something worth preserving in that gesture, I think, even as we accumulate ever more sophisticated imaging data and remote monitoring systems.

In modern technological medicine, we tend to assume that instruments distance us from the patient. Laennec reminds us that instruments can also create new forms of intimacy.

## Virchow: Seeing the Cell

Rudolf Virchow’s correct landmark text is **Die Cellularpathologie in ihrer Begründung auf physiologische und pathologische Gewebelehre**, published in 1858. Virchow’s concept of cellular pathology made the cell the fundamental unit of disease. ([christies.com](https://www.christies.com/en/lot/lot-6180000))

After Morgagni, disease had an organ.

After Virchow, disease had a cellular substrate.

This transition is more consequential than it might initially appear. The lesion was no longer only visible to the naked eye at autopsy. It could be microscopic, requiring instruments, staining, histological preparation, and trained interpretation. Medicine moved down in scale, and the tools had to follow.

This shift still underlies pathology, oncology, hematology, inflammatory disease, transplantation medicine, and much of contemporary biomedical reasoning. What Virchow established in the mid-nineteenth century, we are still elaborating and extending.

Virchow taught medicine that the most important lesion may be invisible until technology changes the scale of vision.

## Semmelweis, Lister, and Koch: Seeing Infection

The nineteenth century transformed medicine’s understanding of infection. The process was neither smooth nor linear.

Ignaz Semmelweis’ work on puerperal fever showed that hand hygiene could dramatically reduce maternal mortality, though his ideas were resisted during his lifetime with a stubbornness that remains, in retrospect, difficult to fully account for. Joseph Lister’s **On the Antiseptic Principle in the Practice of Surgery**, published in 1867, applied antiseptic principles to surgical practice and helped transform surgery from a frequently lethal intervention into a safer therapeutic discipline. ([PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC2895849/))

![Ignaz Semmelweis' work on puerperal fever](https://www.micheledpierri.com/wp-content/uploads/2026/05/Ignaz_Semmelweis_1861_Etiology_front_page-1-764x1024.jpg)

Robert Koch’s work on tuberculosis, presented in 1882, made the tubercle bacillus visible and helped establish a new model of infectious causation. The consequences for microbiology, public health, and the etiological understanding of disease were far-reaching. ([germanhistory-intersections.org](https://germanhistory-intersections.org/en/knowledge-and-education/ghis%3Adocument-25))

Before germ theory, infection was often explained through miasma, constitutional weakness, bad air, or poorly defined contamination. After microbiology, disease could be linked to specific organisms, specific routes of transmission, and specific preventive measures.

For any surgeon, this is not simply history. It is the foundation of the operating room. Every sterile field, every preoperative antibiotic, every isolation protocol traces back, however indirectly, to this era.

## Claude Bernard: Seeing Experimentally

Claude Bernard’s **Introduction à l’étude de la médecine expérimentale**, published in 1865, is one of the great methodological texts of modern medicine. Bernard helped define medicine as an experimental science, not merely an accumulation of clinical impressions. ([sciencedirect.com](https://www.sciencedirect.com/science/article/abs/pii/S0188440917301625))

His contribution is epistemological.

Observation is necessary, but not sufficient. The physician-scientist must formulate hypotheses, design experiments, control conditions, interpret results, and remain alert to the difference between association and causation. These are not trivial demands; they become harder, not easier, when the datasets grow large.

This remains directly relevant to modern medical data science. A machine learning model can identify patterns with high statistical confidence. But medicine still needs to ask whether those patterns are meaningful, causal, generalizable, and clinically useful. These are not algorithmic questions. They require human judgment.

Bernard reminds us that better data do not automatically produce better reasoning.

## Osler, Harrison, and the Modern Clinical Textbook

William Osler’s **The Principles and Practice of Medicine**, first published in 1892, and **Harrison’s Principles of Internal Medicine**, first published in 1950, belong to a different category from Vesalius, Harvey, Morgagni, or Virchow. They are not books of a single discovery. They are architectures of clinical knowledge. ([archive.org](https://archive.org/details/principlespracti1892osle/page/n9/mode/2up))

Osler represents the humanistic and bedside tradition of modern clinical medicine. Harrison represents the increasingly pathophysiological, laboratory-based, and systematic organization of internal medicine. Later editions of Harrison explicitly reflect the transformation of medicine through molecular genetics, imaging, robotics, bioinformatics, and information technology. ([accessmedicine.mhmedical.com](https://accessmedicine.mhmedical.com/content.aspx?bookid=2129&sectionid=181950641))

![William Osler's The Principles and Practice of Medicine](https://www.micheledpierri.com/wp-content/uploads/2026/05/Osler.png)

These books show that modern medicine is not only a collection of discoveries. It is also a teaching system. A good textbook does not merely contain knowledge. It trains a way of thinking.

## Mukherjee: Seeing Disease as Biography

Siddhartha Mukherjee’s **The Emperor of All Maladies: A Biography of Cancer**, published in 2010, is not a foundational scientific treatise in the same sense as Harvey’s or Virchow’s work. It is something different: a modern narrative history of cancer as a biological, clinical, scientific, social, and human phenomenon. It won the Pulitzer Prize for General Nonfiction. ([Wikipedia](https://en.wikipedia.org/wiki/The_Emperor_of_All_Maladies))

Its place in a list of medical classics is defensible only if we understand the list broadly, and I think we should.

Modern medicine does not only need discoveries. It also needs memory, and narratives capable of connecting laboratory science, clinical practice, patient suffering, public policy, and cultural imagination. Cancer is not only a cellular disease. It is also a historical experience, a therapeutic battlefield, a social fear, and, for many patients I have known, an entirely personal catastrophe.

Mukherjee’s book reminds us that medicine must see not only mechanisms, but lives.

## From Medical Texts to Medical Data

The history of medicine can be read as a history of changing visibility.

The Hippocratic physician saw the course of disease. Vesalius saw the anatomical body. Harvey saw circulation. Morgagni saw the lesion. Virchow saw the cell. Koch saw the microbe. Osler saw the clinical patient. Harrison saw the patient through pathophysiology, laboratory medicine, and organized internal medicine.

Today, digital medicine asks us to see something else: patterns distributed across data.

Electronic health records, ICD codes, laboratory time series, imaging datasets, operative notes, discharge summaries, wearable sensors, and genomic information are producing a new kind of medical object. Not simply the patient at the bedside, not simply the organ, not simply the cell, but the patient as a trajectory through complex systems of data.

This is where coding and artificial intelligence enter the story. Medical coding is not just administrative work. It is one of the ways medicine translates clinical reality into structured information. Machine learning, at its best, is a method for detecting patterns that are too complex, too distributed, or too subtle for ordinary clinical perception.

In practice, this “trajectory view” shows up in concrete clinical tasks. We use models (formal or informal) to recognize syndromes and phenotypes that are not single lesions but composite patterns—think of heterogeneous entities such as sepsis, ARDS, or HFpEF. We try to anticipate events before they declare themselves (AKI, decompensation, readmission risk). And we increasingly use NLP to extract latent structure from free text—operative notes, discharge summaries, and the narrative fragments that still carry clinical meaning after coding has done its work.

But the lesson of history is clear: every new way of seeing also creates new risks. Texts can become dogma. Anatomy can reduce the patient to a body. Pathology can reduce disease to a lesion. Laboratory medicine can reduce illness to numbers. Artificial intelligence can reduce clinical reality to patterns without meaning.

The task is not to reject technology. The task is to keep technology inside medicine.

## Conclusion: Artificial Intelligence as Another Chapter in an Old Story

The future of medicine will not replace the history of medicine. It will extend it.

Artificial intelligence is not the opposite of clinical tradition. It is one more instrument in the long human effort to see disease more clearly, act earlier, and understand the patient more completely. Whether it will fulfill that potential remains, as of now, genuinely uncertain.

The great books of medicine matter because they remind us that medicine has never been static. It has always changed when physicians found new ways to observe, represent, measure, classify, and interpret disease.

From the Oath to the anatomical atlas, from the autopsy table to the microscope, from the stethoscope to the laboratory, from the textbook to the electronic health record, medicine has always been a dialogue between human judgment and technical mediation.

The challenge today is the same as it was in every previous era: not simply to see more, but to see better. And above all, to remember that behind every new instrument of vision there remains the same object of medicine: the patient.

---

## Key takeaways

- Medicine’s history can be read as a sequence of **technologies of perception**: new instruments and methods that make new aspects of disease visible.
- These shifts repeatedly reorganize medical authority: from inherited texts to direct observation, from anatomy to experiment, from lesions to cells, from germs to statistics.
- Digital medicine extends this trajectory by treating the patient as a **data-rich path through time** (EHRs, codes, labs, imaging, text), not only as a bedside encounter.
- AI can be understood as a new perceptual instrument for medicine: powerful at detecting distributed patterns, but always in need of clinical interpretation and ethical constraint.