Take CT, get PET free: AI-powered breakthrough in lung cancer diagnosis and prognosis Editorial
| Authors: | Wang, T.; Yang, X. |
| Title: | Take CT, get PET free: AI-powered breakthrough in lung cancer diagnosis and prognosis |
| Abstract: | PET scans provide additional clinical value but are costly and not universally accessible. Salehjahromi et al.1 developed an AI-based pipeline to synthesize PET images from diagnostic CT scans, demonstrating its potential clinical utility across various clinical tasks for lung cancer. © 2024 The Author(s) |
| Keywords: | cancer survival; note; cancer staging; positron emission tomography; cancer diagnosis; diagnostic accuracy; computer assisted tomography; lung neoplasms; lung cancer; tomography, x-ray computed; lung tumor; diagnostic value; image quality; artificial intelligence; fluorodeoxyglucose f 18; fluorodeoxyglucose f18; computer vision; predictive value; lung nodule; procedures; machine learning; cancer prognosis; humans; prognosis; human; x-ray computed tomography |
| Journal Title: | Cell Reports Medicine |
| Volume: | 5 |
| Issue: | 4 |
| ISSN: | 2666-3791 |
| Publisher: | Cell Press |
| Date Published: | 2024-01-01 |
| Start Page: | 101486 |
| Language: | English |
| DOI: | 10.1016/j.xcrm.2024.101486 |
| PUBMED: | 38631288 |
| PROVIDER: | scopus |
| PMCID: | PMC11031371 |
| DOI/URL: | |
| Notes: | Note -- Source: Scopus |
