Success Stories: A Scientist from China Working in the Field of Artificial Intelligence-based Computer-aided Diagnosis Gets I-140 NIW Approval with Our Assistance
Client’s Testimonial:
“Thank you soooooooo much! This is really exciting! Thank you for your effort so far.”
On November 25th, 2024, we received another EB-2 NIW (National Interest Waiver) approval for a Scientist in the Field of Artificial Intelligence-based Computer-aided Diagnosis (Approval Notice).
General Field: Artificial Intelligence-based Computer-aided Diagnosis
Position at the Time of Case Filing: Scientist
Country of Origin: China
State of Residence at the Time of Filing: California
Approval Notice Date: November 25th, 2024
Processing Time: 1 month, 30 days (Premium Processing Requested)
Case Summary:
Our client is a Ph.D. holder in computer science and a scientist, concentrated on developing multi-modality deep learning models to automatically detect diseases in patients and allocate suspicious cancer lesions on medical imaging to assist healthcare professionals in achieving faster and more accurate diagnoses. This vital contribution improves patient prognosis and has great substantial merit and national importance.
After a meticulous review of his scientific achievements and learning about his intention to submit an NIW (National Interest Waiver) petition with the help of the North America Immigration Law Group, we concluded that his study is crucial to addressing the global burden of cancer care through improved artificial intelligence-integrated medical diagnostics.
Therefore, with over 32,000 approved cases, we decided to support him and successfully presented his research, highlighting the following key components in his NIW petition packet:
- We noted that his specialized research also has broad implications for the United States as the enhanced diagnostic precision and efficiency and augmenting cancer screening with multi-parametric MRI.
- Thus, his research received funding support from the National Institutes of Health (NIH). This validates his research and shows its clear importance in the national interest, including improving health, lengthening life, and reducing illness and disability.
- Besides, his research has resulted in 8 peer-reviewed journal articles (3 of them first-authored), 2 conference papers (1 of them first-authored), 3 abstracts, and 3 preprints, which altogether gathered 113 citations from many other experts.
- Moreover, he has conducted at least 49 reviews to date, affirming his real and active involvement in evaluating the work of other experts in the field of deep learning and machine learning model design for disease diagnosis.
- He has even received 4 recommendation letters from fellow experts in his field of expertise.