Next-gen multimodal large model cuts cost of lung cancer genetic testing
Guangdong News11 Oct · 20:14← Topics · 11 Oct
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BigGo Finance11 Oct · 19:24
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As it stood that day
AI pathology and deep-learning tools are being used to improve disease detection and diagnosis.
12 reports · 11 Oct
Summary · from headlines6 points
- Ann was hours from death. Then her son used AI to save her.
- AI was studied to distinguish low-grade glioma and encephalitis on non-contrast MRI.
- A deep learning model was developed to distinguish cytomegalovirus and herpes simplex virus esophagitis.
- A MobileNet and vision transformer model was developed for acute lymphoblastic leukemia prediction.
- An AI pathology model could cut lung cancer genetic testing costs in China to a few hundred yuan.
- AI models using sleep-study ECGs were reported for sleep-apnea detection and cardiovascular-outcome prediction.
Latest developments6 to read first
Sleep-study heart recordings offer clues to long-term cardiovascular risk
PakTribune11 Oct · 19:54Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes
National Institutes of Health (NIH) | (.gov)11 Oct · 19:54ECG-based automated detection of sleep apnea using deep neural networks and hidden markov models
Nature11 Oct · 19:54Development, validation, and deployment of a machine learning model fo | COPD
Dove Medical Press Ltd11 Oct · 13:14Timeline 12 reports
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