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Clintix

Journal

Writing from the clinicians behind Clintix.

Series · 8 parts

The Thinking Clinician

A series on artificial intelligence, clinical judgement and medical education.

  1. Part 1: When Better Answers Do Not Mean Better Doctors

    Artificial intelligence is transforming access to medical knowledge. Whether it strengthens clinical judgement is another matter.

  2. Part 2: Never-Skilling: When the Answer Comes Before the Learning

    Artificial intelligence may transform medical education. But access to expertise is not the same as acquiring it.

  3. Part 3: The Illusion of Understanding

    When an explanation feels convincing, how do we know whether we have actually understood it?

  4. Part 4: AI Literacy: Knowing How to Use It Is Not the Same as Knowing When to Trust It

    As artificial intelligence becomes part of medicine, knowing how to use it may be the least demanding part of becoming competent.

  5. Part 5: Teaching with AI: When the Answer Becomes the Lesson

    Artificial intelligence can explain almost anything. But the ability to explain something is not necessarily the ability to teach it.

  6. Part 6: When AI Gets It Wrong: Who Is Really in Control?

    We are told that clinicians must remain accountable for decisions involving artificial intelligence. But accountability becomes complicated when the decisions shaping those systems are made elsewhere.

  7. Part 7: Are We Testing Competence or the Quality of the Answer?

    An examination can produce a correct answer without establishing that the person being examined understands it.

  8. Part 8: The Future of Clinical Expertise: What Should We Delegate?

    Artificial intelligence may change not only how doctors practise medicine, but what it means to be a good doctor.