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Rachael Chacko
Rachael Chacko
Geisel School of Medicine
在 dartmouth.edu 的电子邮件经过验证
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ArcticAI: a deep learning platform for rapid and accurate histological assessment of intraoperative tumor margins
J Levy, M Davis, R Chacko, M Davis, L Fu, T Goel, A Pamal, I Nafi, ...
medRxiv, 2022.05. 06.22274781, 2022
62022
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment
MJ Davis, G Srinivasan, R Chacko, S Chen, A Suvarna, LJ Vaickus, ...
Experimental Dermatology 33 (1), e14949, 2024
22024
Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site
JJ Levy, MJ Davis, RS Chacko, MJ Davis, LJ Fu, T Goel, A Pamal, I Nafi, ...
NPJ Precision Oncology 8 (1), 2, 2024
12024
Whole-tissue margin evaluation for Mohs surgery using paired-agent imaging
VC Torres, S Hodge, R Chacko, JJ Levy, LJ Vaickus, EY Chen, ...
Optical Molecular Probes, Imaging and Drug Delivery, OM3E. 4, 2023
12023
Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study
SH Park, R Pinto-Powell, T Thesen, A Lindqwister, J Levy, R Chacko, ...
Medical Education Online 29 (1), 2315684, 2024
2024
Acquired Congenial Malalignment of the Great Toenails: A Case Series
R Lapides, H Porter, R Chacko, M Davis, J Barker, J Pierson, S Chapman
SKIN The Journal of Cutaneous Medicine 8 (3), 1506-1514, 2024
2024
Integration of a deep learning basal cell carcinoma detection and tumor mapping algorithm into the Mohs micrographic surgery workflow and effects on clinical staffing: a …
R Chacko, MJ Davis, J Levy, M LeBoeuf
JAAD International, 2024
2024
DeltaAI: Semi-Autonomous Tissue Grossing Measurements and Recommendations using Neural Radiance Fields for Rapid, Complete Intraoperative Histological Assessment of Tumor Margins
A Suvarna, R Vempati, R Chacko, G Srinivasan, Y Lu, B Hunt, V Torres, ...
bioRxiv, 2023.08. 07.552349, 2023
2023
The Discrete-Event Modeling of Administrative Claims (DEMAC) System: Dynamically modeling the US healthcare delivery system with Medicare claims data to improve end-of-life care
R Chacko
2021
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