How much are machine learning and NMR related in medical imaging?

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SUMMARY

The discussion centers on the relationship between machine learning and nuclear magnetic resonance (NMR) in the context of medical imaging. Participants highlight the growing integration of machine learning algorithms in medical imaging technologies such as MRI, PET, and CT scans, particularly in tasks like atlas-based anatomical segmentation. There is a consensus that while machine learning is increasingly utilized, there remains significant room for improvement and further research. The conversation also touches on the educational qualifications typically required for roles in this field, indicating a preference for PhD-level candidates.

PREREQUISITES
  • Understanding of machine learning algorithms
  • Familiarity with nuclear magnetic resonance (NMR) technology
  • Knowledge of medical imaging techniques, including MRI, PET, and CT scans
  • Awareness of computer-assisted diagnosis systems
NEXT STEPS
  • Research advancements in machine learning applications for medical imaging
  • Explore the latest developments in atlas-based anatomical segmentation
  • Investigate the role of PhD-level research in medical imaging technologies
  • Learn about the reliability and validation of computer-assisted diagnosis systems
USEFUL FOR

Medical imaging researchers, machine learning practitioners, and healthcare professionals interested in the intersection of technology and medicine will benefit from this discussion.

Domenico94
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Hi everyone. By reading stuff on the Internet, I found many times the correlation between machine learning and NMR, or, better, algorithms that are implemented for that kind of technology( The same goes for PET, or CT scans.
The thing I want to ask is, how much do you think that the two things are related? You think that machine learning is used a lot in that kind of research, or is it still a thing that it's somehow neglected in that field? I'm talking esclusively of medicine and medical imaging, not in general.
 
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You might want to search for "computer assisted diagnosis" to get an idea of the state of the field. In general, this is a big area of research in medical imaging. Even basic tasks like atlas-based anatomical segmentation and delineation are just over the past few years coming out in commercial products, and even then there's a lot of debate over how reliable such systems are. So there is definitely a lot of room for improvement, if these are areas you're interested in.
 
Choppy said:
You might want to search for "computer assisted diagnosis" to get an idea of the state of the field. In general, this is a big area of research in medical imaging. Even basic tasks like atlas-based anatomical segmentation and delineation are just over the past few years coming out in commercial products, and even then there's a lot of debate over how reliable such systems are. So there is definitely a lot of room for improvement, if these are areas you're interested in.
Actually I ve read of it...but I just didn't know how much that sector was developed..Now it seems more clear, thanks :)
You know if their positions for those jobs are for people with master s degree or only for PhD people? I mean, developing medical imaging stuff for that kind of machiner..Like MRI and so on...
 
I think most of the people actively doing research in such areas are at the PhD level.
 
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Choppy said:
I think most of the people actively doing research in such areas are at the PhD level.
Understood:) thanks: P
 
We have many threads on AI, which are mostly AI/LLM, e.g,. ChatGPT, Claude, etc. It is important to draw a distinction between AI/LLM and AI/ML/DL, where ML - Machine Learning and DL = Deep Learning. AI is a broad technology; the AI/ML/DL is being developed to handle large data sets, and even seemingly disparate datasets to rapidly evaluated the data and determine the quantitative relationships in order to understand what those relationships (about the variaboles) mean. At the Harvard &...

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