Articles

Readings on AI, real healthcare, and clinical judgment

Nexus Humanum texts for thinking about artificial intelligence from concrete healthcare practice.

Editorial illustration about artificial intelligence in real healthcare workManagement and systemic risk

From pride to systemic risk

When an organization normalizes chronic exhaustion, it stops managing people and starts managing risk without recognizing it.

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Real clinical contextFoundational article

Artificial intelligence for real healthcare

A reflection on technology, clinical practice, fragmented records, and human responsibility in non-ideal healthcare contexts.

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Editorial illustration about AI in the trenches, clinical documentation, and real healthcare workClinical practice

AI in the trenches

How to use generative AI to organize healthcare documentation quickly, with strict anonymization and human review.

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Editorial illustration about bureaucratic overload and artificial intelligence in healthcareHealthcare management and AI

Medical overclocking

How AI can reduce bureaucratic overload and return judgment, care, and clinical time to healthcare workers.

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Editorial illustration about nursing, care, and artificial intelligenceNexus Simplex Classroom

AI did not come to replace nursing. It came to give time back.

A reading for nurses and technicians on how AI can relieve repetitive administrative and documentation tasks without replacing human expertise.

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Editorial illustration about healthcare administration and artificial intelligenceNexus Simplex Classroom

AI did not come to replace administrative staff.

A reading for admissions, secretarial, billing, and healthcare management teams about AI applied to spreadsheets, forms, authorizations, schedules, and repetitive processes.

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Editorial illustration about healthcare retirement, professional identity, and lonelinessWorkforce care

When the shift goes quiet: healthcare retirement and the loneliness no one plans for

An essay on retirement, professional identity, and the loneliness that is often absent from healthcare planning.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgmentClinical culture

From pride to danger: how medicine normalizes exhaustion

A reading on normalized fatigue, professional pride, and organizational risk in medicine.

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Editorial illustration about technology, patient safety, and systems under stressPatient safety

The Vanderbilt case: when technology bends under stress

What the Vanderbilt case teaches about technology, automation, system stress, and clinical responsibility.

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Editorial illustration about ethics, artificial intelligence, and clinical responsibilityEthics and AI

Ethics of AI in medicine: using algorithms without losing humanity

Practical principles for using artificial intelligence in medicine without losing humanity, equity, or responsibility.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgment5P medicine

Digital twins and 5P medicine in Uruguay

Digital twins, personalized medicine, and concrete implementation challenges in Uruguay.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgment5P medicine

Digital twins in medicine

A clinical introduction to digital twins and predictive, preventive, personalized, participatory, and population medicine.

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Editorial illustration about the history of artificial intelligence, machines, and thoughtHistory of AI

Before the algorithm

Part one of a series on the idea of artificial intelligence before silicon.

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Editorial illustration about the history of artificial intelligence, machines, and thoughtHistory of AI

From myths to logic

How thinking became a formal problem before becoming computation.

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Editorial illustration about the history of artificial intelligence, machines, and thoughtHistory of AI

When logic met the machine

Babbage, Ada Lovelace, Turing, and the machine as an intellectual problem.

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Editorial illustration about the history of artificial intelligence, machines, and thoughtHistory of AI

When machines learned

Data, statistics, and the birth of machine learning.

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Editorial illustration about the history of artificial intelligence, machines, and thoughtHistory of AI

Neural networks and foundation models

The leap toward deep learning and foundation models.

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Editorial illustration about artificial intelligence in the emergency room, triage, and clinical decision-makingEmergency care and AI

AI in the emergency department: when it helps and when it gets in the way

When AI can help in emergency care and when it adds noise, risk, or false security.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgmentClinical practice and AI

AI will not replace the physician

Why AI will not replace the physician, but may profoundly change medical practice.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgmentHealthcare divide

AI and the new healthcare divide

How AI can widen inequalities if it arrives without infrastructure, data, or governance.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgmentClinical judgment

Technological obedience in healthcare

Automation bias and the risk of confusing a screen with a clinical decision.

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Editorial illustration about the future of medicine, artificial intelligence, and clinical judgmentFuture of medicine

Redefining medicine in the AI era

An open question for a time when information is no longer the scarce resource.

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Editorial illustration about health systems under stress, care pressure, and artificial intelligenceHealth systems

Systems under stress

What happens when pressure stops being exceptional, and how to think about AI in that context.

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Editorial illustration about types of artificial intelligence, models, and clinical classificationTypes of AI

Not all AI is the same

Part one of a series distinguishing types of AI before using them in clinical work.

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Editorial illustration about types of artificial intelligence, models, and clinical classificationTypes of AI

Rule-based AI

The predictable, the explainable, and its clinical traps.

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Editorial illustration about types of artificial intelligence, models, and clinical classificationTypes of AI

When AI learns on its own

Machine learning, probability, and the end of absolute clinical certainty.

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Editorial illustration about types of artificial intelligence, models, and clinical classificationTypes of AI

The black box

Deep learning, explainability, and ethical limits between support and delegation.

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Editorial illustration about artificial intelligence, healthcare, and clinical judgmentPublic health and AI

Epidemiological surveillance, PROA, and AI in Uruguay

Opportunities, limits, and conditions for responsible use in public health.

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