C
Cayley Bowles
Researcher at Stanford University
Publications - 7
Citations - 46
Cayley Bowles is an academic researcher from Stanford University. The author has contributed to research in topics: Deep learning & Survival analysis. The author has an hindex of 2, co-authored 7 publications receiving 8 citations.
Papers
More filters
Journal ArticleDOI
Predicting post-operative right ventricular failure using video-based deep learning
Rohan Shad,Nicolas Quach,Robyn Fong,Patpilai Kasinpila,Cayley Bowles,Miguel Castro,Ashrith Guha,Eddie Suarez,Stefan Jovinge,Sangjin Lee,Theodore Boeve,Myriam Amsallem,Xiu Tang,Francois Haddad,Yasuhiro Shudo,Y. Joseph Woo,Jeffrey J. Teuteberg,John P. Cunningham,Curtis P. Langlotz,William Hiesinger +19 more
TL;DR: In this paper, the authors developed a novel video AI system trained to predict post-operative right ventricular failure (RV failure) using the full spatio-temporal density of information from pre-operative echocardiography scans.
Journal ArticleDOI
Patient-Specific Computational Fluid Dynamics Reveal Localized Flow Patterns Predictive of Post-Left Ventricular Assist Device Aortic Incompetence.
Rohan Shad,Alexander D. Kaiser,Sandra Kong,Robyn Fong,Nicolas Quach,Cayley Bowles,Patpilai Kasinpila,Yasuhiro Shudo,Jeffrey J. Teuteberg,Y. Joseph Woo,Alison L. Marsden,William Hiesinger +11 more
TL;DR: Aortic valve disease has remained a persistent cause of concern in patients with left ventricular assist devices as mentioned in this paper, and aortic incompetence is a known predictor of both morta...
Journal ArticleDOI
Computational Fluid Dynamics Simulations to Predict False Lumen Enlargement After Surgical Repair of Type-A Aortic Dissection.
Rohan Shad,Sandra Kong,Robyn Fong,Nicolas Quach,Patpilai Kasinpila,Cayley Bowles,Anson M. Lee,William Hiesinger +7 more
TL;DR: In this paper, the authors used computational fluid dynamics to investigate the hemodynamic conditions that may predispose to false lumen enlargement in aortic dissections in this patient population.
Journal ArticleDOI
Long-term survival in patients with post-LVAD right ventricular failure: multi-state modelling with competing outcomes of heart transplant.
Rohan Shad,Robyn Fong,Nicolas Quach,Cayley Bowles,Patpilai Kasinpila,Michelle Li,Kate M. Callon,Miguel Castro,Ashrith Guha,Erik E. Suarez,Sangjin Lee,Stefan Jovinge,Theodore Boeve,Yasuhiro Shudo,Curtis P. Langlotz,Jeffrey J. Teuteberg,William Hiesinger +16 more
TL;DR: In this paper, the authors compared the outcomes of LVAD patients who developed post-operative RV failure accounting for the transitional probability of receiving an interim heart transplantation using a multi-state Aalen Johansen survival model.
Journal ArticleDOI
Predicting post-operative right ventricular failure using video-based deep learning.
Rohan Shad,Nicolas Quach,Robyn Fong,Patpilai Kasinpila,Cayley Bowles,Miguel Castro,Ashrith Guha,Eddie Suarez,Stefan Jovinge,Sangjin Lee,Theodore Boeve,Myriam Amsallem,Xiu Tang,Francois Haddad,Yasuhiro Shudo,Y. Joseph Woo,Jeffrey J. Teuteberg,John P. Cunningham,Curtis P. Langlotz,William Hiesinger +19 more
TL;DR: In this article, a video AI system was trained to predict post-operative right ventricular failure using the full spatio-temporal density of information in pre-operative echocardiography.