Search Results - "MOUKHEIBER, LAMA"

Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology by Moukheiber, Lama, Mangione, William, Moukheiber, Mira, Maleki, Saeed, Falls, Zackary, Gao, Mingchen, Samudrala, Ram

“…Humans are exposed to numerous compounds daily, some of which have adverse effects on health. Computational approaches for modeling toxicological data in…”
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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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Telehealth and digital health innovations: A mixed landscape of access by Phuong, Jimmy, Ordóñez, Patricia, Cao, Jerry, Moukheiber, Mira, Moukheiber, Lama, Caspi, Anat, Swenor, Bonnielin K, Naawu, David Kojo N, Mankoff, Jennifer

“…In the wake of emergent natural and anthropogenic disasters, telehealth presents opportunities to improve access to healthcare when physical access is not…”
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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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Sources of bias in artificial intelligence that perpetuate healthcare disparities-A global review by Celi, Leo Anthony, Cellini, Jacqueline, Charpignon, Marie-Laure, Dee, Edward Christopher, Dernoncourt, Franck, Eber, Rene, Mitchell, William Greig, Moukheiber, Lama, Schirmer, Julian, Situ, Julia, Paguio, Joseph, Park, Joel, Wawira, Judy Gichoya, Yao, Seth

“…While artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on relatively…”
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AI in Pathology: What could possibly go wrong? by Nakagawa, Keisuke, Moukheiber, Lama, Celi, Leo A., Patel, Malhar, Mahmood, Faisal, Gondim, Dibson, Hogarth, Michael, Levenson, Richard

“…The field of medicine is undergoing rapid digital transformation. Pathologists are now striving to digitize their data, workflows, and interpretations,…”
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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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Critical Bias in Critical Care Devices by Charpignon, Marie-Laure, Byers, Joseph, Cabral, Stephanie, Celi, Leo Anthony, Fernandes, Chrystinne, Gallifant, Jack, Lough, Mary E., Mlombwa, Donald, Moukheiber, Lama, Ong, Bradley Ashley, Panitchote, Anupol, William, Wasswa, Wong, An-Kwok Ian, Nazer, Lama

“…Critical care data contain information about the most physiologically fragile patients in the hospital, who require a significant level of monitoring. However,…”
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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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Telehealth and digital health innovations: A mixed landscape of access by Jimmy Phuong, Patricia Ordóñez, Jerry Cao, Mira Moukheiber, Lama Moukheiber, Anat Caspi, Bonnielin K. Swenor, David Kojo N. Naawu, Jennifer Mankoff

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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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Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review by Leo Anthony Celi, Jacqueline Cellini, Marie-Laure Charpignon, Edward Christopher Dee, Franck Dernoncourt, Rene Eber, William Greig Mitchell, Lama Moukheiber, Julian Schirmer, Julia Situ, Joseph Paguio, Joel Park, Judy Gichoya Wawira, Seth Yao

“…Background While artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on…”
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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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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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