38. Max Brodel (1870-1941): His artistic influence on surgical learning at John Hopkins Medical School
Bibliographic record
Abstract
Medical students depend on illustration to learn anatomical facts and details that may be too subtle for the written or spoken word. For surgical disciplines, learners rely on tools such as language, 2-dimensional illustrations, and 3-dimensional models to pass on important concepts. Although a photograph can convey factual information, illustration can highlight and educate the pertinent details for understanding surgical procedures, neurovascular structures, and the pathological disease processes. In order to understand the current role of medical illustration in education, one needs to look to the past to see how art has helped solve communication dilemmas when learning medicine. This paper focuses on Max Brodel (1870-1941), a German-trained artist who eventually immigrated to the United States to pursue his career as a medical illustrator. Shortly after his arrival in Baltimore, Brodel made significant contributions to medical illustration in Gynecology at John Hopkins University, and eventually in other fields of medicine such as Urology and Otolaryngology. Brodel is recognized as one of America’s most distinguished medical illustrators for creating innovative artistic techniques and founding the profession of medical illustration. Today, animated computer based art is synergistically used with medical illustration to educate students about anatomy. Some of the changes that have occurred with the advancement of computer technology will be highlighted and compared to a century ago, when illustrations were used for teaching anatomy due to the scarcity of cadavers. Schultheiss D, Udo J. Max Brodel (1870-1941) and Howard A.Kelly (1858-1943) – Urogynecology and the birth of modern medical illustration. European Journal of Obstetrics & gynecology and Reproductive Biology 1999; 86:113-115. Crosby C. Max Brodel: the man who put art into medicine. New York: Springer-Verlag, 1991. Papel ID. Max Brodel’s contributions to otolaryngology – Head and Neck surgery. The American Journal of Otology 1986; 7(6):460-469.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".