Bio

Adrit is passionate about research at the intersection of deep learning, healthcare, and mobile apps. For the past four years, he has been conducting digital health research at Stanford's Vascular Surgery division. He is also a member of the Stanford Mussallem Center for Biodesign's Digital Health group and serves as a TA for Stanford's CS342 course.

Adrit has co-authored 16 peer-reviewed publications, including 13 as first author. He has presented at several prestigious international conferences, including MICCAI, ICCV, CVPR, and MWSCAS. He developed AutoABI, a patent-pending AI-enabled app for peripheral artery disease diagnosis. He developed the A4 deep learning pipeline for automated abdominal aortic aneurysm measurement which is open-sourced through Stanford AIMI's Comp2Comp. His research also focuses on improving the explainability of computer vision for medical image analysis. He is also a contributor to Stanford Spezi's digital health ecosystem.

Contact

  • Work
    adritrao@stanford.edu
    University - Staff Department: Surgery - Vascular Surgery Position: High School Student
    University - Affiliate Department: Surgery - Vascular Surgery

Additional Info

Links

All Publications

  • A Standardized, Scalable, and Automated Open-source CT AAA Diameter Measurement Tool Using Deep Learning Journal of Vascular Surgery Rao, A., Blankemeier, L., Berens, P., Fereydooni, A., Chaudhari, A., Aalami, O. 2024; 79 (6)
  • LLM on FHIR—Demystifying Health Records Schmiedmayer, P., Rao, A., Zagar, P., Ravi, V., Zahedivash, A., Fereydooni, A., Aalami, O. arXiv preprint arXiv:2402.01711. 2024
  • IMIL: Interactive Medical Image Learning Framework IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Rao, A., Fisher, A., Chang, K., Panagides, J., McNamara, K., Lee, J., Aalami, O. 2024: 5241-5250
  • Studying the Impact of Augmentations on Medical Confidence Calibration Rao, A., Lee, J., Aalami, O., IEEE IEEE COMPUTER SOC. 2023: 2454-2464

    View details for DOI 10.1109/ICCVW60793.2023.00260

    View details for Web of Science ID 001156680302054

  • Towards improving the visual explainability of artificial intelligence in the clinical setting BMC Digital Health Rao, A., Aalami, O. 2023; 1

    View details for DOI 10.1186/s44247-023-00022-3

  • Preliminary Clinical Validation Results of a Deep Learning Approach for Ankle Brachial Index Prediction in Noncompressible Tibial Vessels Fereydooni, A., Rao, A., Chaudhari, A., Battenfield, K., Aalami, O. MOSBY-ELSEVIER. 2022: E85

    View details for Web of Science ID 000888852300001

  • Computationally Efficient Deep Learning Applied to Glaucoma Eye Drop Bottle Detection for Increasing Medication Compliance in Low-Vision Patients Rao, A., Fishman, H. ASSOC RESEARCH VISION OPHTHALMOLOGY INC. 2022

    View details for Web of Science ID 000844401306091

  • Accessible artificial intelligence for ophthalmologists. Eye (London, England) Rao, A., Fishman, H. 2022; 36 (4): 683

    View details for DOI 10.1038/s41433-021-01891-6

    View details for PubMedID 35001087

    View details for PubMedCentralID PMC8956683

  • Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning Rao, A., Aalami, O., Wu, S., Shabestari, B., Xing, L. SPRINGER INTERNATIONAL PUBLISHING AG. 2022: 1-7

    View details for DOI 10.1007/978-3-031-17721-7_1

    View details for Web of Science ID 000870091500001

  • AutoABI: Feasibility of a Smartphone-Enabled ABI and Waveform Phasicity Prediction Model Using Machine Learning for Rapid Point-of-Care Limb Perfusion Assessment Rao, A., Battenfield, K. G., Fereydooni, A., Aalami, O. MOSBY-ELSEVIER. 2021: E182

    View details for Web of Science ID 000691401100293

  • Studying the Effects of Self-Attention for Medical Image Analysis Rao, A., Park, J., Woo, S., Lee, J., Aalami, O., IEEE Comp Soc IEEE COMPUTER SOC. 2021: 3409-3418

    View details for DOI 10.1109/ICCVW54120.2021.00381

    View details for Web of Science ID 000739651103057

  • Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment Rao, A., Battenfield, K., Aalami, O., IEEE IEEE. 2021: 462-466

    View details for DOI 10.1109/MWSCAS47672.2021.9531856

    View details for Web of Science ID 000784758700109

  • OCTAI: Smartphone-based Optical Coherence Tomography Image Analysis System Rao, A., Fishman, H. A., IEEE IEEE. 2021: 72-76

    View details for DOI 10.1109/AIIOT52608.2021.9454200

    View details for Web of Science ID 000853024300012

  • The Value of Visual Attention for COVID-19 Classification in CT Scans Rao, A., Park, J., Aalami, O., IEEE Comp Soc IEEE COMPUTER SOC. 2021: 433-438

    View details for DOI 10.1109/ICCVW54120.2021.00052

    View details for Web of Science ID 000739651100046

  • Development of the Next Generation Hand-Held Doppler with Waveform Phasicity Predictive Capabilities Using Deep Learning Rao, A., Chaudhari, A., Aalami, O., Laura, C. O., Cardoso, M. J., Rosen-Zvi, M., Kaissis, G., Linguraru, M. G., Shekhar, R., Wesarg, S., Erdt, M., Drechsler, K., Chen, Y., Albarqouni, S., Bakas, S., Landman, B., Rieke, N., Roth, H., Li, Xu, D., Gabrani, M., Konukoglu, E., Guindy, M., Rueckert, D., Ziller, A., Usynin, D., Passerat-Palmbach, J. SPRINGER INTERNATIONAL PUBLISHING AG. 2021: 56-67

    View details for DOI 10.1007/978-3-030-90874-4_6

    View details for Web of Science ID 001116037700006

https://orcid.org/0000-0002-0780-033X