AI in Healthcare
How technology is transforming the future of human care
“The next decade of healthcare will not belong to those with the best technology, but to those who know how to ask the best question.”
Neither fear nor miracle.
Where to Buy About the bookSynopsis
Two Brazilian surgeons investigate, without fear and without naive fascination, what artificial intelligence is really changing in clinical practice and in healthcare management. A book about what makes us irreplaceable, and about giving time back to the people who care.
Authors
André Leite
Thoracic surgeon
President of Unimed Serra Gaúcha, one of Brazil's major healthcare organizations. He argues that "innovation that never reaches the bedside is merely invention," a principle that runs through all 21 chapters of "AI in Healthcare".
Vinícius Victorazzi Lain
Vascular surgeon
President of Instituto Hélice, an innovation hub in Serra Gaúcha. In "AI in Healthcare" he combines daily clinical experience and hands-on use of AI tools with the vision of a healthcare innovation ecosystem.
Chapters
21 chapters, each exploring a different facet of the encounter between artificial intelligence and healthcare. See all chapters →
Themes
From algorithmic bias to cybersecurity, from radiology to hospital management: explore the book and the articles by theme. See all themes →
Articles
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.