Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine.
Maliheh GharibshahianMohammad TorkashvandMahya BavisiNiloofar AldaghiAkram AlizadehPublished in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)
The capabilities of artificial intelligence (AI) can be used in different ways in all the different stages of TERM and not only solve the existing limitations, but also accelerate the processes, increase efficiency and precision, reduce costs, and complications after transplantation. ML predicts which technologies have the most efficient and easiest path to enter the market and clinic. The use of AI along with these imaging techniques can lead to the improvement of diagnostic information, the reduction of operator errors when reading images, and the improvement of image analysis (such as classification, localization, regression, and segmentation).
Keyphrases
- artificial intelligence
- deep learning
- tissue engineering
- convolutional neural network
- big data
- machine learning
- high resolution
- primary care
- preterm infants
- working memory
- health insurance
- patient safety
- healthcare
- health information
- gestational age
- stem cells
- adverse drug
- emergency department
- mesenchymal stem cells
- social media
- optical coherence tomography
- quality improvement
- fluorescence imaging
- electronic health record