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Cody's Eye Cloud Talking- Cody's Eye looking at this mornings grey overcast like a "womb"- hint,
It is polite to express love and respect, but
it is not polite to explicitly state "I love you, but I don't believe what you believe," as this can be hurtful. ouch
"Cody, Spirit doesn't pay the Bills", ouch
I wish i could see better to gain more WISDOM---HHHmmm I wonder how nurses us AI which is said to be "evil" to better see what they are doing to better HELP THE PERSON LIVE BETTER.
To say I don't want to look at anything AI because its evil is not the way to close off your mind. Medical TECH uses AI EVERYDAY Especially in sonograms for "heart technicians"-
Yes, AI is used in sonograms today to improve image quality, automate tasks, and assist in diagnoses. AI tools help with standardized image acquisition, quantitative measurements, and provide real-time feedback for quality assurance, making ultrasound more efficient and accessible for both experienced and less experienced clinicians.
How AI is used in sonograms
Automated image acquisition and quality control: AI can guide the sonographer to capture standard views, help stabilize the probe, and ensure image quality, which reduces operator variability.
Diagnostic assistance: AI algorithms analyze images to identify anomalies and provide decision support to clinicians for conditions like liver fibrosis, cardiac issues, and fetal abnormalities.
Quantitative measurements: AI automatically measures structures like fetal biometry or cardiac chambers, increasing accuracy and efficiency.
Enhanced training and accessibility: AI provides real-time feedback and training tools, which helps reduce the steep learning curve associated with ultrasound. This is especially valuable for clinicians using portable, point-of-care ultrasound devices, particularly in remote areas.
Data and workflow management: AI can help with tasks like labeling images, entering data, and organizing information, streamlining the overall workflow.
Is AI going to replace ultrasound techs?
It guides professionals in probe placement, identifies issues in real time, and even suggests diagnoses using deep learning algorithms. Hence, AI is enhancing accuracy and consistency in data. This is why, rather than being a threat, AI is proving to be a catalyst for ultrasound tech career growth.