Articles
Writing by André Leite and Vinícius Lain on AI in healthcare.
AI in Medicine
Will Artificial Intelligence Replace Doctors?
Artificial intelligence is likelier to transform medical work than replace it. Learn what the machine can take over, and what remains essentially human.
Core Concepts
What Is Artificial Intelligence in Healthcare?
Understand what artificial intelligence in healthcare means, its main types of application, and why clinical usefulness depends on context, validation and governance.
Doctors and AI
How Can AI Give Doctors Their Time Back?
Ambient listening, record summarization and document automation can reduce the invisible work that keeps doctors away from patients. Learn how to do it safely.
Data and Infrastructure
Why Interoperability Is Essential to AI in Healthcare
AI depends on integrated data. Learn why interoperability, APIs and standards such as HL7 FHIR are clinical infrastructure, not just IT topics.
Ethics and Regulation
Who Is Responsible When Artificial Intelligence Makes a Mistake in Medicine?
When an AI takes part in a medical decision and something goes wrong, responsibility does not disappear. Understand the role of the physician, the institution, the vendor and governance.
Doctors and AI
The Two Patients: Who Are You Really Treating?
Abraham Verghese's "iPatient" concept: the patient of data on the screen can steal attention from the real patient. See what this has to do with using AI in the consultation.
Foundations of AI in Healthcare
Medicine's Sound Barrier: When the Volume of Data Exceeds What a Doctor Can Process
The "Medical Singularity": why the volume of clinical information has already outgrown human processing capacity, and what that demands of technology.
Foundations of AI in Healthcare
Neither Miracle Nor Threat: How to Judge a Medical AI by What It Actually Does
Before asking whether an AI is good, ask for which task, with what validation and under what supervision. A practical guide to judging healthcare technology.
Data and Infrastructure
Data Is Not Oil, It Is Uranium: The Electronic Health Record as the Hospital's Living Memory
Why the "data as oil" metaphor is misleading, and what that changes in how hospitals should treat their clinical data.
Data and Infrastructure
Healthcare's Digital Titanic: Why Your Systems Don't Talk to Each Other
Interoperability, HL7 FHIR and vendor lock-in: why the lack of systems that talk to each other is the silent foundation of all AI in healthcare.
AI in Medicine
What Happens When an Algorithm Reads the X-Ray Before the Radiologist
The real case of the automated reporting technology adopted by Unimed Serra Gaúcha, a pioneer in Brazil, and what it teaches about AI in radiology.
AI in Medicine
The Silence Before Code Blue: How AI Can Predict a Patient's Deterioration
Predictive medicine and early sepsis detection: how continuous data can anticipate an emergency before it happens.
Doctors and AI
Who Stole Eye Contact From the Medical Consultation, and How AI Can Give It Back
Ambient listening: the technology that promises to give doctors back the eye contact the electronic record took out of the consultation.
Core Concepts
The Origami That Won the Nobel: What AlphaFold Changes for Your Treatment
AlphaFold, the 2024 Nobel Prize in Chemistry and pharmacogenomics: how AI is speeding the path to truly personalized medicine.
Healthcare Management
The Manifesto: Healthcare's Problem Was Never the Technology, It Was the Design of the System
Before buying technology, fix the process. A warning about operating room, bed and hospital flow management.
Healthcare Management
The Logistics Nobody Sees, but That Decide Whether You Survive Surgery
Supply Chain 4.0: why managing surgical implants and hospital supplies is, in practice, patient safety.
Healthcare Management
When Care Doesn't Talk to the Cashier: The Invisible Cost of Claim Denials
RCM and algorithmic billing audits: how the disconnect between clinical care and billing generates claim denials, and how AI fixes it at the source.
AI in Medicine
The Hospital Without Walls: When the Hospital Bed Is the Patient's Living Room
Hospital at Home and remote monitoring: how AI makes it safe to treat at home patients who once would have needed admission.
Ethics and Regulation
The Game of Thrones of Health Data: Algorithmic Bias Is Inequality Disguised as Science
How algorithms trained on unequal data reproduce and amplify inequality, and why governance and explainability (XAI) are not optional.
Ethics and Regulation
Algorithm Has No Medical License: Who Answers When AI Gets It Wrong?
The legal gap around accountability in medical AI: physician, hospital or vendor, who answers when the algorithm errs?
Data and Infrastructure
Healthcare's Enigma Moment: Is Your Hospital Ready for a Cyberattack?
WannaCry, Stuxnet and the Vastaamo breach: why cybersecurity in healthcare is, literally, a matter of life and death.
Doctors and AI
The Elevator Operator Syndrome: Why Trust Matters More Than the Algorithm
The Stanislav Petrov case and the importance of the physician "champion": why AI adoption in healthcare is ultimately a problem of trust, not technology.
Healthcare Management
Innovation That Doesn't Pay Is a Hobby: The Lesson of IBM Watson Health's Failure
ROI and TVO for AI in healthcare: what the collapse of Watson Health teaches about financial discipline before investing in technology.
Foundations of AI in Healthcare
88 Miles Per Hour: AI Doesn't Point to the Future, It Points Back to the Doctor as Healer
A synthesis on the physician's role in the age of artificial intelligence: technology as the engine, human judgment as the steering.
Core Concepts
Hospital 2035: A Day in the Life of a Patient in Medicine's (Very Near) Future
A speculative scenario of the hospital of the future, with digital twins, robotic surgery and continuous monitoring, and the real risk that it will not reach everyone.
Core Concepts
The Foreword Written by an AI: The Experiment That Opens AI in Healthcare
Why André Leite and Vinícius Lain asked the AI Claude, from Anthropic, to write the book's foreword, and what this experiment demonstrates in practice.