The current and future state of AI interpretation of medical images
P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
[HTML][HTML] Development of metaverse for intelligent healthcare
The metaverse integrates physical and virtual realities, enabling humans and their avatars to
interact in an environment supported by technologies such as high-speed internet, virtual …
interact in an environment supported by technologies such as high-speed internet, virtual …
[HTML][HTML] Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework
The clinical efficacy and safety of a drug is determined by its molecular properties and
targets in humans. However, proteome-wide evaluation of all compounds in humans, or …
targets in humans. However, proteome-wide evaluation of all compounds in humans, or …
Integrated MRI-guided radiotherapy—opportunities and challenges
MRI can help to categorize tissues as malignant or non-malignant both anatomically and
functionally, with a high level of spatial and temporal resolution. This non-invasive imaging …
functionally, with a high level of spatial and temporal resolution. This non-invasive imaging …
DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction
Deep learning has attracted rapidly increasing attention in the field of tomographic image
reconstruction, especially for CT, MRI, PET/SPECT, ultrasound and optical imaging. Among …
reconstruction, especially for CT, MRI, PET/SPECT, ultrasound and optical imaging. Among …
CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising
Objective. Low-dose computed tomography (LDCT) denoising is an important problem in CT
research. Compared to the normal dose CT, LDCT images are subjected to severe noise …
research. Compared to the normal dose CT, LDCT images are subjected to severe noise …
Electron microscopy studies of soft nanomaterials
This review highlights recent efforts on applying electron microscopy (EM) to soft (including
biological) nanomaterials. We will show how developments of both the hardware and …
biological) nanomaterials. We will show how developments of both the hardware and …
Simulation intelligence: Towards a new generation of scientific methods
The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …
computing, where a motif is an algorithmic method that captures a pattern of computation …
DU-GAN: Generative adversarial networks with dual-domain U-Net-based discriminators for low-dose CT denoising
Low-dose computed tomography (LDCT) has drawn major attention in the medical imaging
field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing …
field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing …
[HTML][HTML] Small group discussion method to increase learning activity: Its implementation in education
A Johanna, B Avinash, B Bevoor - International Journal of …, 2023 - journal.ypidathu.or.id
Background. Learning begins with providing pretest questions to find out the extent of
student learning activities. Experimental students were given learning using the small group …
student learning activities. Experimental students were given learning using the small group …