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---
title: Cows May Be Hurt By Heavy Cowbells, Study Finds
description: The iconic Swiss cowbell may be good for tourism, but it could also be hurting the country's cows
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author: Sam Frizell
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article:published_time: 2014-09-25T21:44:33.000Z
article:modified_time: 2026-08-04T08:03:08.226Z
og:title: Cows May Be Hurt By Heavy Cowbells, Study Finds
og:description: The iconic Swiss cowbell may be good for tourism, but it could also be hurting the country's cows
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twitter:title: Cows May Be Hurt By Heavy Cowbells, Study Finds
twitter:description: The iconic Swiss cowbell may be good for tourism, but it could also be hurting the country's cows
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![](https://static.time.com/v3/assets/bltea6093859af6183b/blt9ce28f7dabbe41dc/6986a583169ab0927e27b680/90286808.jpg?branch=production&width=1200&quality=75&auto=webp&crop=16:9)


# No More Cowbell! Bovines May Be Hurt By Heavy, Noisy Bells, Study Finds

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<!-- video src="https://cdn.jwplayer.com/manifests/UIDfUltg.m3u8" -->
## Video: How AI Is Changing Medical Imaging

[Watch (HLS stream): How AI Is Changing Medical Imaging](https://cdn.jwplayer.com/manifests/UIDfUltg.m3u8) (2:33)

![How AI Is Changing Medical Imaging](https://cdn.jwplayer.com/v2/media/UIDfUltg/poster.jpg?width=720)

_Published 2022-11-03. Medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further. If the first few decades of radiology were about refining the resolution of the pictures taken of the body, then the next decades will be dedicated to interpreting that data to ensure nothing is overlooked._


by 

[Sam Frizell](https://time.com/author/sam-frizell/)


## Sam Frizell


Sep 25, 2014 9:44 PM UTC

![Swiss cow bell](https://static.time.com/v3/assets/bltea6093859af6183b/blt9ce28f7dabbe41dc/6986a583169ab0927e27b680/90286808.jpg?branch=production&width=1200&quality=75&auto=webp&crop=3:2)

Swiss cow bell

Swiss cow bell Getty Images

by 

[Sam Frizell](https://time.com/author/sam-frizell/)


## Sam Frizell


Sep 25, 2014 9:44 PM UTC

The classic cow bells worn by Swiss bovines could be damaging the animals’ hearing and feeding habits, according to researchers in Zurich.

A recent study at the Swiss Federal Institute of Technology studied more than 100 cows carrying 12-pound bells at two dozen farms across the country, and found that the bells can lead to deafness in cows, whose hearing is more sensitive than that of human beings.

The bells can create noise levels of up to 113 decibels, about the amount of noise made by a chain saw and louder than the legal noise limit of 85 decibels. The researchers also said cows wearing bells tended to chew for less time than cows without bells, reports [Schweiz Am Sonntag](http://www.schweizamsonntag.ch/ressort/nachrichten/glocken%5Flassen%5Fkuehe%5Fleiden/).

---

### More from TIME

---

Farmers said that Switzerland’s 12-pound cowbells are an iconic part of the country’s cultural heritage, and that replacing cowbells with GPS devices would hurt Switzerland’s image. The heavy cowbells are rarely used except at ceremonial occasions.

The study didn’t conclude whether the weight of the bells or the sound of their ringing were causing cows to change their behavior.

\[[_Schweiz am Sonntag_](http://www.schweizamsonntag.ch/ressort/nachrichten/glocken%5Flassen%5Fkuehe%5Fleiden/)\]


## Transcript

Artificial intelligence is being used to expand the power of radiology and Medical Imaging Healthcare was it was going to be a Panacea. Maybe it was going to replace humans in this process or that generally, I, I was going to be able to look at massive records and make. Massive decision was saying that that isn't going to happen someday, but the product is priced a really around that triage finding things. Early finding things in large quantity. So it might take a few days to be able to find a diagnosis, or, as computers can run without sleep, continuously and find those those patients that need triage care right away.

The US Food and Drug Administration has approved around 420 algorithms involving aai and imaging for various diseases. Most of them in cancer at Mass General. Brigham doctors have about fifty such algorithms to help them with patient care about half have been approved by the FDA and the remaining ones are still being tested there, a certain conditions that if you don't treat quickly, add the patient worsens or could actually pass away. And so examples of that would be like pulmonary embolism in the ER setting. A patient comes in with shortness of breath. That could be one of the things they have, but it might not be the thing that they have, that have congestive heart failure, which is treated differently.

So now, there are algorithms, that can detect pulmonary embolism on a CAT scan of the chest and tell when a cat's detected, it doesn't make the diagnosis. That it's important to know that it's not saying, this is definitely what it is saying that. The probability of this patient, having it is much higher than this patient. And so you should look at this patient first. When you have a series of patients that you need to care for, it does help to get that bump up in the list to be able to say I should look your first cousin. Higher likelihood that this patient as that in diesel treatment. All of these at different levels of AI, all today, require human intervention to come in and say I agree or disagree.

So, depending upon today, the sophistication of a, i, it just makes it easier for that human to focus on the one area and to focus on the right patient to say, how do we get care faster.

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