Artificial Intelligence, Machine Learning, and Deep Learning


Supports the design and development of artificial intelligence, machine learning, and deep learning to enhance analysis of complex medical images and data.


The emphasis is on development of transformative machine intelligence-based systems, emerging tools, and modern technologies for diagnosing and recommending treatments for a range of diseases and health conditions.  Unsupervised and semi-supervised techniques and methodologies are of particular interest.

Program priorities and areas of interest:

  • clinical decision support systems
  • computer-aided diagnosis
  • computer-aided screening
  • analyzing complex patterns and images
  • screening for diseases
  • natural-language processing and understanding
  • medical decision-making
  • predictive modeling
  • computer vision
  • robotic and image guided surgery
  • personalized imaging and treatment
  • drug discovery
  • radiomics
  • machine/deep learning-based segmentation, registration, etc.

Additional support

This program also supports:

  • early-stage development of software, tools, and reusable convolutional neural networks
  • data reduction, denoising, improving performance (health-promoting apps), and deep-learning based direct image reconstruction
  • approaches that facilitate interoperability among annotations used in image training databases

    Related News

    July 15, 2024

    Bioengineering researchers at Rice University have developed ultrasmall, stable gas-filled protein nanostructures that could revolutionize ultrasound imaging and drug delivery. Unlike current microbubbles or nanobubbles that are too large to cross biological barriers effectively, the novel diamond-shaped 50-nanometer gas vesicles (50-NM GVs) — approximately the size of viruses — are believed to be the smallest stable, free-floating structures for medical imaging ever created. Source: Rice University News

    July 11, 2024

    Dr. Bruce Tromberg, NIBIB Director, speaks with Research America! Alliance on the history and trajectory of NIBIB and bioengineering as a tool that is focused on collaboration to develop cutting-edge technology in service of health science breakthroughs. Source: Research America! blog.

    July 2, 2024
    A 3D illustration of insulin and glucose molecules in the blood

    Researchers have established an RNA-based method that drives cells in the body to produce therapeutic proteins and secrete them into the bloodstream. The approach could extend the lifespan of drugs in the body, reducing the burden on patients.

    July 2, 2024

    Artificial intelligence models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always perform well across all demographic groups, usually faring worse on women and people of color. Source:  Massachusetts Institute of Technology News 

    July 1, 2024

    A team of researchers led by the University of California San Diego has developed a soft, stretchy electronic device capable of simulating the feeling of pressure or vibration when worn on the skin. The new technology could pave the way for the development of advanced devices in virtual reality, medical prosthetics and wearable technology. Source: University of California San Diego.