Happy New Year! The abstracts we discussed today are listed below: 📰 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology 🔗 pubmed.ncbi.nlm.nih.gov/39754166/ 📰 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization 🔗 pubmed.ncbi.nlm.nih.gov/39749734/ 📰 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma 🔗pubmed.ncbi.nlm.nih.gov/39748723/ 📰 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami 🔗pubmed.ncbi.nlm.nih.gov/39748708/ 📰 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review 🔗pubmed.ncbi.nlm.nih.gov/39746329/
Thank you very much for your kind words and thoughtful comments. I’m truly grateful for the opportunity to explore the potential of AI in the ROSE application, and I’m glad to hear that you find the ResNet-18 classification model promising. It’s encouraging to receive such positive feedback, and I’m deeply committed to further learning and growth in this field. I’m optimistic about the progress we can make and look forward to contributing to meaningful advancements in both academia and industry.Let us have fun of this magic.
Happy New Year! The abstracts we discussed today are listed below:
📰 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology
🔗 pubmed.ncbi.nlm.nih.gov/39754166/
📰 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization
🔗 pubmed.ncbi.nlm.nih.gov/39749734/
📰 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma
🔗pubmed.ncbi.nlm.nih.gov/39748723/
📰 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami
🔗pubmed.ncbi.nlm.nih.gov/39748708/
📰 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review
🔗pubmed.ncbi.nlm.nih.gov/39746329/
Thank you very much for your kind words and thoughtful comments. I’m truly grateful for the opportunity to explore the potential of AI in the ROSE application, and I’m glad to hear that you find the ResNet-18 classification model promising. It’s encouraging to receive such positive feedback, and I’m deeply committed to further learning and growth in this field. I’m optimistic about the progress we can make and look forward to contributing to meaningful advancements in both academia and industry.Let us have fun of this magic.