Carson K. Lam

发表

THE FUTURE OF AUTOMATED MOBILE EYE DIAGNOSIS

Cassie A. Ludwig, Mia X. Shan, Nam Phuong H. Nguyen, 2016 .

Opening the Black Box: Visualization of Deep Neural Network for Detection of Disease in Retinal Fundus Photographs

Daniel L. Rubin, Darvin Yi, Carson K. Lam, 2017 .

Institutionally Distributed Deep Learning Networks pdf

Bruce R. Rosen, James M. Brown, Daniel L. Rubin, 2017, ArXiv.

Longitudinal Data in Ophthalmic Imaging: Curation and Annotation

Daniel L. Rubin, Joelle Hallak, Darvin Yi, 2018 .

Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study

Carson K. Lam, A. Allen, E. Pellegrini, 2020, Annals of Medicine and Surgery.

Phototherapeutic keratectomy for epithelial basement membrane dystrophy

Carson K. Lam, E. Manche, Wen-Shin Lee, 2016, Clinical ophthalmology.

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial

Carson K. Lam, J. Vincent, J. Calvert, 2020, Journal of clinical medicine.

Embolus extravasation is an alternative mechanism for cerebral microvascular recanalization

Carson K. Lam, J. Grutzendler, Taehwan Yoo, 2010, Nature.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, medRxiv.

Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, Health Policy and Technology.

Personalized stratification of back to work risk amidst COVID-19: A machine learning approach (Preprint)

Carson K. Lam, J. Calvert, A. Lynn-Palevsky, 2020 .

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

Carson K. Lam, J. Vincent, J. Calvert, 2020, Computers in Biology and Medicine.

Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients

Carson K. Lam, J. Calvert, Q. Mao, 2022, Frontiers in Pediatrics.

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Carson K. Lam, Q. Mao, C. Tso, 2022, JMIR medical informatics.

Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids

Carson K. Lam, J. Vincent, J. Calvert, 2021, Clinical Therapeutics.

Angiophagy Prevents Early Embolus Washout But Recanalizes Microvessels Through Embolus Extravasation

Carson K. Lam, J. Grutzendler, R. Adelman, 2014, Science Translational Medicine.

Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, Healthcare technology letters.

Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors pdf

Daniel L. Rubin, Jared Dunnmon, Jared A. Dunnmon, 2017, ArXiv.

Using Machine Learning as a Precision Medicine Approach for Remdesivir and Corticosteroids as COVID-19 Pharmacotherapies

Carson K. Lam, J. Vincent, J. Calvert, 2021, Clinical Therapeutics.

Retinal Lesion Detection With Deep Learning Using Image Patches

Daniel Rubin, Carson K. Lam, Carson Lam, 2018, Investigative ophthalmology & visual science.

Intraocular pressure measurement in the emergency department is inconsistently documented and significantly varies from ophthalmologist IOP

Carson K. Lam, Akhilesh S Pathipati, D. Moshfeghi, 2016 .

Distributed deep learning networks among institutions for medical imaging

Bruce R. Rosen, James M. Brown, Daniel L. Rubin, 2018, J. Am. Medical Informatics Assoc..

Automated Detection of Diabetic Retinopathy using Deep Learning

Darvin Yi, Tony Lindsey, Carson K. Lam, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy

Carson K. Lam, D. Rubin, Minha Alam, 2023, Journal of clinical medicine.

Visual acuity measured with a smartphone app is more accurate than Snellen testing by emergency department providers

Carson K. Lam, Akhilesh S Pathipati, D. Moshfeghi, 2016, Graefe's Archive for Clinical and Experimental Ophthalmology.

Deep Learning with Diverse Objectives Improves ARDS Prediction

Ritankar Das, Carson K. Lam, Qingqing Mao, 2021 .

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, JMIR Formative Research.

COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients

Carson K. Lam, G. Tourassi, J. Rassen, 2021, PloS one.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, Int. J. Medical Informatics.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, Int. J. Medical Informatics.

Multi-Task Learning with Recurrent Neural Networks for ARDS Prediction using only EHR Data: Model Development and Validation Study (Preprint)

Carson K. Lam, Q. Mao, C. Tso, 2022, JMIR Medical Informatics.

Phototherapeutic keratectomy for epithelial basement membrane dystrophy

Carson K. Lam, E. Manche, Wen-shin Lee, 2016, Clinical ophthalmology.