How can computer science be applied to the medical field

In summary, computer science and the medical field have a strong potential for collaboration, especially in cancer research. Computer scientists can assist in tasks such as mathematical modeling for drug design, developing algorithms for image analysis, and utilizing GPU-based Monte Carlo simulations for radiation oncology. Other areas of collaboration include cancer progression and treatment modeling, as well as the design and programming of medical devices such as heart pumps. There are also opportunities for computer scientists in diagnostics and therapeutics, including roles in CAD, image segmentation and registration, and digital pathology. With ongoing innovation in fields such as reconstruction algorithms, the collaboration between computer science and the medical field is likely to continue for years to come.
  • #1
Niaboc67
249
3
Please describe how computer science and the medical field can work together. Anything dealing with cancer research would be greatly appreciated.
 
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  • #2
Here are some links to check out.

http://folding.stanford.edu/
https://www.biostars.org/
http://bmi.stanford.edu/

Also for what it's worth, the group I am working with a my University does research in graphics and visualization, and some of their grad students are specialists in medical visualization.

I'm currently working for that group developing a software as a service platform for their volume rendering software, and from which to continually add new algorithms and features they develop, so that their collaborators at medical schools can have easy access.

The collaborators are radiologists and biomedical engineers. They have a lab where they invent and build new machines for imaging. They generate complex data sets and rely on computer scientists to design algorithms and build software which allows you view and interact with the data in real time.
 
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  • #3
Mathematical modelling should be useful for designing medical drugs. For that, mathematical/functional programming should come to mind.
 
  • #4
Computer-assisted diagnosis (CAD) - the development of algorithms for systematic analysis of images was very hot at the RSNA meeting a few years ago - and I suspect that it will be for years to come. This field will incorporate a lot of image registration work, as researchers and doctors will be needing to bring together information from multiple imaging modalities and use that for a more personalized, or patient-specific approach to medicine.

GPU-based Monte Carlo simulations have also been hot over the last few years. We use these a lot in radiation oncology.

Modelling of cancer progression and response to treatment is also a big field, although the computational side of things isn't really the bottleneck right now (it's more the availability of quality biological data).
 
  • #5
I was recently offered an internship involving the design and programming of heart pumps - the programming part is a great practical example of the CS and medical fields working together. I was already in the middle of a project, though, and couldn't accept this enticing offer :(
 
  • #6
Combining patient physiological & structural treatments records, billing, and appointment setting all in one integrated program.
 
  • #7
You may be interested in researchers like Franziska Michor: http://michorlab.dfci.harvard.edu

If you are interested in more direct uses of computation, there are roles in both diagnostics and therapeutics.

I don't know much about therapeutics, but as Choppy said, on the diagnostics side there is CAD, including image segmentation, registration, and the recognition of lesions. CAD is widely used in mammography but not so widely used elsewhere yet. Digital pathology, which is one of the most complicated fields to digitize, is still in its infancy.

In CT and nuclear medicine, there is innovation ongoing in the areas of reconstruction algorithms.
 

Related to How can computer science be applied to the medical field

1. How is computer science used in the medical field?

Computer science is used in the medical field in various ways, such as developing electronic health records, creating medical imaging and diagnostic tools, and designing software for healthcare management and communication. It also plays a crucial role in medical research and drug development.

2. Can computer science help improve patient care?

Yes, computer science can help improve patient care by providing accurate and efficient ways of storing and accessing patient data, facilitating communication between healthcare professionals, and aiding in the diagnosis and treatment of diseases. It also allows for personalized and data-driven healthcare, leading to better outcomes for patients.

3. How does artificial intelligence impact the medical field?

Artificial intelligence (AI) has the potential to transform the medical field by automating tasks, analyzing large amounts of data, and providing insights and predictions to aid in decision-making. AI-powered tools can also assist in detecting diseases, identifying treatment options, and monitoring patient progress.

4. What are the potential benefits of using computer science in healthcare?

The potential benefits of using computer science in healthcare include improved efficiency and accuracy in patient care, enhanced communication and collaboration among healthcare professionals, better disease detection and treatment, and cost savings. It also has the potential to revolutionize medical research and drug development.

5. Are there any ethical concerns surrounding the use of computer science in medicine?

Yes, there are ethical concerns surrounding the use of computer science in medicine, such as privacy and security of patient data, potential biases in AI algorithms, and the impact of automation on healthcare jobs. It is essential for ethical guidelines and regulations to be in place to ensure the responsible and ethical use of computer science in medicine.

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