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Record W3092932351 · doi:10.4103/joacp.joacp_12_20

Art, science, and aequanimitas: Pillars of modern anesthesia practice

2020· article· en· W3092932351 on OpenAlexaboutno aff
Ameya Karanjkar, Rohan Magoon, Brajesh Kaushal

Bibliographic record

VenueJournal of Anaesthesiology Clinical Pharmacology · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyEmpathyCraftHumanityPerioperativeMedicineCornerstoneAnesthesiologyAltruism (biology)Engineering ethicsMedical educationPsychologyFamily medicinePsychiatryPolitical scienceLawAnesthesiaSocial psychologyHistory

Abstract

fetched live from OpenAlex

Dear Editor, Anesthesia is undoubtedly a scientific boon to humanity and a holistic specialty of medicine reaching out to all the possible clinical domains ranging from perioperative services to the care of critically sick and pain alleviation. Therefore, the modern anesthesiologist needs to meticulously manage these diverse clinical settings affecting the lives of patients spanning from the dawn of a new life to providing comfort at the termination of life. Anesthesia can be envisaged as a perfect blend of balanced proportions of art and science.[12] The art or rather craft of the specialty connotes the slick and effortless technical capability, skillset, multitasking and intuitiveness, conventionally attained through practice and experience. The foundation of the art in our branch emanates from the motivation of becoming physicians, promoted by the empathy and altruism for the sufferers. At the same time, as caregivers of medicine, our empathy and altruism should be translated into actions driven by the understanding of science. Science essentially encompasses knowledge based on natural laws, refined by the experiences of the practical experiments and observations. Therefore, it is characteristically dynamic and an integral part of systematic evolution of any medical specialty. The extent of contribution of art and science to modern day medicine is often debated, with many young practitioners proposing science as the cornerstone of the current practice. However, both are indispensable with the perioperative medicine embodying as the practice of art, premised on science. As the modern anesthesiology practice continues to become challenging in the 21st century, it demands the perioperative physicians to sculpt the quality of imperturbability or equanimity. Sir William Osler, a Canadian physician and 1st Baronet outlined these attributes in one of his legendary essays and most definitely summed it all up in a single word, Aequanimitas, while delivering a valedictory address at the Pennsylvania university way back in 1889.[3] The importance of the classic statement that he articulated: ‘in the physician or surgeon no quality takes rank with imperturbability’ fails to fade despite the passing decades.[4] Imperturbability broaches the concept of the utmost presence of mind and composure amidst the most difficult scenarios, maintaining the clarity of judgment. Cultivating the aforementioned virtue enables the highest form of authority on the medullary centers conferring the advantage of ensuring the mental equilibrium aimed at the most appropriate decision making. Despite the present era endorsing the trend towards organizing patient care with specific uniform algorithms and the advent of the pursuit of the goal of artificial intelligence, the modern-day anesthesiology practice mandates a perfect concoction of the attributes of art, science and equanimity to cope with the current social, academic, and performance pressures on ’today's anesthesiologist’. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.398
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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