Search Results - "Moukheiber, Dana"

A multimodal framework for extraction and fusion of satellite images and public health data by Moukheiber, Dana, Restrepo, David, Cajas, Sebastián Andrés, Montoya, María Patricia Arbeláez, Celi, Leo Anthony, Kuo, Kuan-Ting, López, Diego M., Moukheiber, Lama, Moukheiber, Mira, Moukheiber, Sulaiman, Osorio-Valencia, Juan Sebastian, Purkayastha, Saptarshi, Paddo, Atika Rahman, Wu, Chenwei, Kuo, Po-Chih

“…In low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the…”
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Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities by Holmes Fee, Casey, Hicklen, Rachel Scarlett, Jean, Sidney, Abu Hussein, Nebal, Moukheiber, Lama, de Lota, Michelle Foronda, Moukheiber, Mira, Moukheiber, Dana, Anthony Celi, Leo, Dankwa-Mullan, Irene

“…Healthcare has long struggled to improve services through technology without further widening health disparities. With the significant expansion of digital…”
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Bias in artificial intelligence algorithms and recommendations for mitigation by Nazer, Lama H, Zatarah, Razan, Waldrip, Shai, Ke, Janny Xue Chen, Moukheiber, Mira, Khanna, Ashish K, Hicklen, Rachel S, Moukheiber, Lama, Moukheiber, Dana, Ma, Haobo, Mathur, Piyush

“…The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social…”
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A systematic review of federated learning applications for biomedical data by Crowson, Matthew G, Moukheiber, Dana, Arévalo, Aldo Robles, Lam, Barbara D, Mantena, Sreekar, Rana, Aakanksha, Goss, Deborah, Bates, David W, Celi, Leo Anthony

“…Federated learning (FL) allows multiple institutions to collaboratively develop a machine learning algorithm without sharing their data. Organizations instead…”
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Village mentoring and hive learning: The MIT Critical Data experience by Cosgriff, Christopher V., Charpignon, Marie, Moukheiber, Dana, Lough, Mary E., Gichoya, Judy, Stone, David J., Celi, Leo Anthony

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VARIATION IN MONITORING: BIAS IN LACTATE MEASUREMENT IN ICU IN SEPSIS by ABU HUSSEIN, NEBAL, PRADHAN, PRATIKSHA, HAUG, FREDRIK WILLUMSEN, MOUKHEIBER, DANA, MOUKHEIBER, LAMA, MOUKHEIBER, MIRA, MOUKHEIBER, SULAIMAN, WEISHAUPT, LUCA, ELLEN, JACOB, CELI, LEO ANTHONY, MATOS, JOAO, STRUJA, TRISTAN

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Emulating Target Trials Comparing Early and Delayed Intubation Strategies by Wanis, Kerollos Nashat, Madenci, Arin L., Hao, Sicheng, Moukheiber, Mira, Moukheiber, Lama, Moukheiber, Dana, Moukheiber, Sulaiman, Young, Jessica G., Celi, Leo Anthony

“…Whether intubation should be initiated early in the clinical course of critically ill patients remains a matter of debate. Results from prior observational…”
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Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study by Wang, Ryan, Chen, Li-Ching, Moukheiber, Lama, Seastedt, Kenneth P., Moukheiber, Mira, Moukheiber, Dana, Zaiman, Zachary, Moukheiber, Sulaiman, Litchman, Tess, Trivedi, Hari, Steinberg, Rebecca, Gichoya, Judy W., Kuo, Po-Chih, Celi, Leo A.

“…•This study implements data- and model-level fusion strategies to build a COPD screening model.•Clinical data and CXRs from multiple sites were combined to…”
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A scoping review of artificial intelligence applications in thoracic surgery by Seastedt, Kenneth P, Moukheiber, Dana, Mahindre, Saurabh A, Thammineni, Chaitanya, Rosen, Darin T, Watkins, Ammara A, Hashimoto, Daniel A, Hoang, Chuong D, Kpodonu, Jacques, Celi, Leo A

“…Abstract   OBJECTIVES Machine learning (ML) has great potential, but there are few examples of its implementation improving outcomes. The thoracic surgeon must…”
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The impact of commercial health datasets on medical research and health-care algorithms by Alberto, Isabelle Rose I, Alberto, Nicole Rose I, Ghosh, Arnab K, Jain, Bhav, Jayakumar, Shruti, Martinez-Martin, Nicole, McCague, Ned, Moukheiber, Dana, Moukheiber, Lama, Moukheiber, Mira, Moukheiber, Sulaiman, Yaghy, Antonio, Zhang, Andrew, Celi, Leo Anthony

“…As the health-care industry emerges into a new era of digital health driven by cloud data storage, distributed computing, and machine learning, health-care…”
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Bias in artificial intelligence algorithms and recommendations for mitigation by Lama H. Nazer, Razan Zatarah, Shai Waldrip, Janny Xue Chen Ke, Mira Moukheiber, Ashish K. Khanna, Rachel S. Hicklen, Lama Moukheiber, Dana Moukheiber, Haobo Ma, Piyush Mathur

“…The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social…”
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A systematic review of federated learning applications for biomedical data by Matthew G. Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D. Lam, Sreekar Mantena, Aakanksha Rana, Deborah Goss, David W. Bates, Leo Anthony Celi

“…Objectives Federated learning (FL) allows multiple institutions to collaboratively develop a machine learning algorithm without sharing their data…”
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Surfactant-Stripped Pheophytin Micelles for Multimodal Tumor Imaging and Photodynamic Therapy by Moukheiber, Dana, Chitgupi, Upendra, Carter, Kevin A, Luo, Dandan, Sun, Boyang, Goel, Shreya, Ferreira, Carolina A, Engle, Jonathan W, Wang, Depeng, Geng, Jumin, Zhang, Yumiao, Xia, Jun, Cai, Weibo, Lovell, Jonathan F

“…Porphyrin-based nanomaterials can inherently integrate multiple contrast imaging functionalities with phototherapeutic capabilities. We dispersed pheophytin…”
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Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities by Moukheiber, Dana, Mahindre, Saurabh, Moukheiber, Lama, Moukheiber, Mira, Gao, Mingchen

“…There has been significant progress in implementing deep learning models in disease diagnosis using chest X- rays. Despite these advancements, inherent biases…”
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Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment by Ji, Zhanghexuan, Shaikh, Mohammad Abuzar, Moukheiber, Dana, Srihari, Sargur, Peng, Yifan, Gao, Mingchen

“…Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine…”
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DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries by Kuo, Kuan-Ting, Moukheiber, Dana, Ordonez, Sebastian Cajas, Restrepo, David, Paddo, Atika Rahman, Chen, Tsung-Yu, Moukheiber, Lama, Moukheiber, Mira, Moukheiber, Sulaiman, Purkayastha, Saptarshi, Kuo, Po-Chih, Celi, Leo Anthony

“…Dengue fever presents a substantial challenge in developing countries where sanitation infrastructure is inadequate. The absence of comprehensive healthcare…”
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Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies by Wang, Ryan, Chen, Li-Ching, Moukheiber, Lama, Moukheiber, Mira, Moukheiber, Dana, Zaiman, Zach, Moukheiber, Sulaiman, Litchman, Tess, Seastedt, Kenneth, Trivedi, Hari, Steinberg, Rebecca, Kuo, Po-Chih, Gichoya, Judy, Celi, Leo Anthony

“…Chronic obstructive pulmonary disease (COPD) is one of the most common chronic illnesses in the world and the third leading cause of mortality worldwide. It is…”
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Learning to Ask Like a Physician by Lehman, Eric, Lialin, Vladislav, Legaspi, Katelyn Y, Sy, Anne Janelle R, Pile, Patricia Therese S, Alberto, Nicole Rose I, Ragasa, Richard Raymund R, Puyat, Corinna Victoria M, Alberto, Isabelle Rose I, Alfonso, Pia Gabrielle I, Taliño, Marianne, Moukheiber, Dana, Wallace, Byron C, Rumshisky, Anna, Liang, Jenifer J, Raghavan, Preethi, Celi, Leo Anthony, Szolovits, Peter

“…Existing question answering (QA) datasets derived from electronic health records (EHR) are artificially generated and consequently fail to capture realistic…”
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