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Research shows how birds managed to recognize lung nodules in scans and caught scientists’ attention for their visual analysis capability.
Scientists have discovered that pigeons can assist in research related to the identification of cancer signs in imaging exams. Additionally, a study revealed that the birds managed to recognize lung nodules in CT scans, demonstrating a visual ability that sparked interest from the scientific community.
According to the researchers, the investigation sought to understand if a biological visual system, like that of pigeons, could identify patterns present in complex medical images.
Study with pigeons revealed ability to identify lung nodules
Initially, the scientists analyzed the existing difficulties in interpreting imaging exams.
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Therefore, researchers decided to test if pigeons could recognize visual changes present in scans.
The study, published in the scientific journal Animal Cognition, used a group of six trained pigeons to observe short videos with images of lung exams.
During the tests, half of the animals received food rewards for identifying images containing lung nodules.
Meanwhile, the other half was rewarded for recognizing images without the presence of these changes.
With training, the pigeons began to differentiate the patterns presented in the images.
Additionally, the birds managed to recognize other lung problems, such as emphysema and ground-glass nodules, even without having received specific training for these conditions.
The vision of pigeons caught scientists’ attention in medical tests
According to the authors of the research, the results indicate that a task considered complex, such as analyzing CT images for changes, can be performed by a biological visual system.
Thus, the researchers stated that pigeons seem to use visual categorization mechanisms to differentiate the exams.
Moreover, the study highlighted that the birds’ ability is related to pattern recognition, an important skill in image analysis.
However, the scientists emphasized that pigeons do not replace doctors or specialized professionals.
The research represents an investigation into visual perception and how different biological systems can interpret information.
Pigeons also surprised researchers with their natural orientation ability
In addition to studies involving medical exams, pigeons were already known for other abilities investigated by science.
Recently, a study published in the journal Science analyzed how these birds can perceive the Earth’s magnetic field.
According to the researchers, immune system cells present in the liver of pigeons may participate in this process.
These cells, called macrophages, accumulate iron during the removal of aging red blood cells.
Consequently, they form structures with superparamagnetic characteristics, capable of responding to the Earth’s magnetic field.
Research on magnetism reinforced pigeons’ natural abilities
Furthermore, the scientific study showed that these iron-rich cells can function as a kind of natural biological compass.
During the research, scientists analyzed different tissues of the animals.
Thus, they identified magnetic signals related to the accumulation of iron in the macrophages present in the liver.
Therefore, the results reinforce that pigeons have natural perception mechanisms that continue to be studied by science.
Chronology of scientific research on pigeons’ abilities
- 2015: researchers published in the journal Animal Cognition a study that evaluated pigeons’ ability to recognize patterns in imaging exams and identify lung nodules.
- 2026: a study published in the journal Science investigated the relationship between iron-rich macrophages in pigeons’ livers and the perception of the Earth’s magnetic field.
In this way, the studies show how pigeons continue to be used by science to understand mechanisms of vision, pattern recognition, and natural orientation.
Although the discoveries are relevant, researchers emphasize that the results are part of experimental studies and do not represent a replacement for traditional medical methods.
