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Diagnosed by Artificial Intelligence?

Simon M. Helfgott, MD  |  Issue: February 2017  |  February 16, 2017

Trained pigeons are prodigious discriminators of complex visual stimuli. Capable of recalling more than 1,800 images, they are able to differentiate between letters of the alphabet, emotional expressions on human faces and even paintings by Monet or Picasso. They can generalize their discrimination performance to novel objects or scenes.11 A very clever study recently tested whether operant conditioning procedures alone, without the availability of verbal instructions, could prove sufficient for teaching pigeons the intricate visual discrimination skills associated with diagnosing medically relevant images.

Deploying a system in which pigeons were rewarded with food pellets for pecking at the correct image, the investigators found that not only could they train pigeons to distinguish histopathology slides of benign from malignant breast tissue specimens, but the pigeons also successfully sorted through mammograms and identified those with microcalcifications that were indicative of tumors.11

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Stunning results. Who would ever have guessed? Interestingly, the researchers found that, to maintain the pigeons’ finely honed clinical skills, they needed to be kept lean, weighing just below their free feeding weight. I think the accreditors of graduate medical education would frown if we tried to extrapolate from these data!

Caring & Concern

Perhaps it’s a relief not to be one of those higher-paid specialists, such as a radiologist or pathologist. Let’s stick to rheumatology, in which part of our “payment” comes in the form of our patients’ gratitude for a job reasonably well done. Our empathy and understanding of their burden of living with a chronic disease are traits that neither pigeon nor robot can emulate. No devised set of algorithms will succeed in understanding these critical human concepts of caring and concern.

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And as for having pigeons accompany us in the office, they will first need to work on some personal hygiene issues. Just a suggestion …


Simon M. Helfgott, MDSimon M. Helfgott, MD, is associate professor of medicine in the Division of Rheumatology, Immunology and Allergy at Harvard Medical School in Boston.

References

  1. Brodwin E, Radovanovic D. Here’s how many minutes the average doctor actually spends with each patient. Business Insider. 2016 Apr 6.
  2. O’Dell JR, Mikels TR. To improve outcomes we must define and measure them: Toward defining remission in rheumatoid arthritis. Arthritis Rheum. 2011 Mar;63(3):587–589.
  3. Systemic lupus erythematosus. Wikipedia.
  4. Kolbert E. Books: Our automated future. The New Yorker. 2016 Dec 19 & 26.
  5. Baker S. Final Jeopardy: The Story of Watson, the Computer That Will Transform Our World. Houghton Mifflin Harcourt: New York, 2011.
  6. IBM’s Watson computer plays Jeopardy.
  7. Cohn J. The robot will see you now. The Atlantic. 2013 Mar.
  8. Chen Y, Argentinis E, Weber G. IBM Watson: How cognitive computing can be applied to big data challenges in life sciences research. Clin Ther. 2016 Apr;38(4):688–670.
  9. Bodio SJ. Darwin’s other bird—the domestic pigeon. The Cornell Lab of Ornithology. 2009 Jul 15.
  10. Sleight C. The pigeon that saved a World War II bombing crew. BBC News. 2012 Feb 23.
  11. Levenson RM, Krupinski EA, Navarro VM, et al. Pigeons (Columba livia) as trainable observers of pathology and radiology breast cancer images. PLoS One. 2015 Nov 18;10(11):e0141357.

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Filed under:President's Perspective Tagged with:artificial intelligenceclinicianDiagnosismindpatient carePractice ManagementrheumatologistrheumatologyskillTreatmentWatson

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