Steam traps are crucial components in steam systems, responsible for removing condensate, air, and other non-condensable gases without losing steam. Proper maintenance ensures their optimal performance, energy efficiency, and longevity. Here are ways to effectively maintain steam traps : 1. Regular Inspection: Scheduled Checks: Implement routine inspections to identify malfunctioning traps. Check for leaks, excessive noise, or visible signs of damage. Thermographic Inspections: Use thermal imaging to detect temperature variations that indicate trap inefficiency or blockages. 2. Cleaning and Testing: Cleaning Procedures: Clear debris, rust, or scale buildup that obstructs trap operation. Use appropriate cleaning solutions or mechanical cleaning methods. Testing Methods: Perform various tests (e.g., temperature, sound, visual) to assess trap functionality. Use a steam trap testing device to check for proper operation. 3. Steam Trap Maintenance Program: Establish a Mainten...
“In more than 30 years of reading medication, I have never seen anything as shocking and transformative as artificial intelligence,” said Dr. Eric Topol, cardiologist and vice president of government at Scripps Research in La Jolla, California. ... According to Topol, artificial intelligence can help clinicians interpret coronary artery MRI scans, head CT scans and post-care scans, and it will undoubtedly take on many routine medical tasks, freeing doctors to spend more time talking with patients. ...
Even the Food and Drug Management, which has accredited more
than forty artificial intelligence products in more than five years, says
"digital fitness is revolutionary."
However, many in the fitness industry fear that AI-powered
products will fail to gain publicity. Many clinicians and client advocates fear
that the tech industry, which adheres to the slogan "fail fast, then fix
it," is putting victims at risk and that regulators are not doing enough
to keep them safe, customers.
Early experiments with AI provide a reason for caution, says
Mildred Cho, professor of pediatrics at the Stanford Center for Biomedical
Ethics.
Systems developed at one healthcare facility often fail when
deployed at a one-of-a-kind facility, Cho said. The software used to care for
tens of millions of Americans has been proven to discriminate against
minorities. And AI structures sometimes learn to make predictions based on
factors that are far less relevant to the disease than the brand of the MRI
device used, the timing of the blood test, or whether the patient switched to
seeing a chaplain. In one case, artificial intelligence software erroneously
concluded that people with pneumonia are less likely to die if they have
bronchial asthma - a mistake that has led doctors to deprive asthma patients of
the increased care they need.
“It's more practical to rely on time before something like
this leads to serious health problems,” said Dr. Stephen Nissen, president of
the Cleveland Clinic's cardiology department.
Research organization Gartner said in a July report that
Medical AI, which personally raised $ 1.6 billion in equity funding in the $
0.33 range, "nearly exceeded expectations." "As the fact is
confirmed, a difficult descent into the abyss of disappointment is
likely."
This factual evidence should come in the form of
disappointing results, and artificial intelligence products will appear in the
real world. Even Poplar, author of Deep Medicine: How Artificial Intelligence
Can Make Healthcare Human Again, admits that many AI products are little more
than hot air. “This is a combo bag,” he said.
Experts such as Dr. Bob Kocher, an accomplice at investment
firm Venrock, are more aggressive. “Most artificial intelligence products have
little evidence to guide them,” Kocher said. Some of the dangers will not
become apparent until a large number of patients use the artificial
intelligence system. “We will continue to detect a large number of risks and
accidental outcomes from the use of AI in medical history,” said Kocher.
According to Topol, none of the artificial intelligence
products offered in the US have been tested in randomized medical trials - the
most powerful source of clinical trials. The primary and only randomized trial
of an artificial intelligence device that showed computer-assisted colonoscopy
detects polyps that are smaller than preferred colonoscopy was published online
in October.
According to a January piece in the European Journal of
Clinical Investigation, few tech startups publish their research in
peer-reviewed journals, allowing a variety of scientists to analyze their work.
This "covert investigation", described only in press releases or
promotional events, regularly exaggerates the company's achievements.
And despite the fact that software developers can boast of
the approximate accuracy of their artificial intelligence devices, experts note
that artificial intelligence models are mainly tested on computer systems, and
not in hospitals or other clinical settings. The use of unverified software
“can also turn patients into unsuspecting guinea pigs,” said Dr. Ron Lee,
director of medical informatics for scientific system integration.