Publications by authors named "Barbara Lam"

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Machine Learning and Artificial Intelligence-Based Clinical Decision Support for Modern Hematology.
Cindy Zhang, Barbara D Lam, Fabienne Lucas, Brody H Foy

Clin Lab Med· December 2025

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Artificial intelligence in hematology.
Aziz Nazha, Olivier Elemento, Sanjay Ahuja, Barbara Lam, Moses Miles

Blood· November 2025

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Validation of a Risk Score for Cancer-Associated Thrombosis Using Nationwide EHR Data.
Ang Li, Omid Jafari, Barbara D Lam, Jun Y Jiang, Rock Bum Kim

JAMA Netw Open· November 2025

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Development and validation of venous thromboembolism-bidirectional encoder representations from transformers (VTE-BERT) natural language processing model.
Omid Jafari, Shengling Ma, Barbara D Lam, Jun Y Jiang, Emily Zhou

J Thromb Haemost· August 2025

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Evaluating equitable care in the ICU:Creating a causal inference template to assess the impact of life-sustaining interventions across racial and ethnic groups.
Tristan Struja, João Matos, Barbara Lam, Yiren Cao, Xiaoli Liu

Heart Lung· June 2025

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Clinician characteristics associated with use of risk assessment models for venous thromboembolism and bleeding in hospitalized patients.
Alexander J B Bulteel, Kevin Barnum, Siddhant Datta, Laura E Dodge, Leslie Lake, Barbara D Lam

Ann Hematol· June 2025

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Using a transformer language model to curate a pulmonary embolism dataset from the Medical Information Mart for Intensive Care IV: MIMIC-IV-Ext-PE.
Barbara D Lam, Shengling Ma, Iuliia Kovalenko, Peiqi Wang, Omid Jafari

Res Pract Thromb Haemost· May 2025

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Analyzing how the components of the SOFA score change over time in their contribution to mortality.
Barbara D Lam, Tristan Struja, Yanran Li, João Matos, Ziyue Chen

Crit Care Sci· February 2025

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Large language models for chart review: how machine learning can accelerate hematology research.
Barbara D Lam, Peiqi Wang, Shengling Ma, Omid Jafari, Iuliia Kovalenko

Blood Vessel Thromb Hemost· February 2025

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Assessing treatment response in thrombotic thrombocytopenic purpura: Beyond the platelet count.
Cilomar Martins de Oliveira Filho, Ibidunni Bode-Sojobi, Barbara D Lam, Stephanie Conrad, Jonathan Berry

Hematol Transfus Cell Ther· December 2024

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From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management.
Pavlina Chrysafi, Barbara Lam, Samuel Carton, Rushad Patell

Hamostaseologie· December 2024

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Artificial intelligence meets venous thromboembolism: informaticians' insights on diagnosis, prevention, and management.
Anuranita Gupta, Barbara D Lam, Sabrina Zerbey, Rachel P Rosovsky, Leslie Lake

Blood Vessel Thromb Hemost· December 2024

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Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis.
Barbara D Lam, Pavlina Chrysafi, Thita Chiasakul, Harshit Khosla, Dimitra Karagkouni

Blood Adv· June 2024

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Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.
Sharon Jiang, Barbara D Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman

J Am Med Inform Assoc· June 2024

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Hematologic Abnormalities in Patients With Hidradenitis Suppurativa Receiving Adalimumab.
Simon J Gunter, Zachary E Holcomb, Barbara D Lam, Martina L Porter, Alexa B Kimball

JAMA Dermatol· June 2024

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The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives.
Barbara D Lam, Laura E Dodge, Sabrina Zerbey, William Robertson, Rachel P Rosovsky

Sci Rep· May 2024

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Spontaneous Tumor Lysis Syndrome Secondary to Metastatic Pancreatic Adenocarcinoma.
Jason Gusdorf, Netana H Markovitz, Cleveland Ricketts, Yuho Ono, Barbara D Lam

ACG Case Rep J· April 2024

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CRE24-035: Pembrolizumab-Induced Hemophagocytic Lymphohistiocytosis in a Patient With Breast Cancer: A Case Report and Systematic Review of the Literature.
Charlotte S Walmsley, Michael Andersen, Barbara Lam, Deepa Rangachari, Shana Berwick

J Natl Compr Canc Netw· April 2024

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Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis.
Thita Chiasakul, Barbara D Lam, Megan McNichol, William Robertson, Rachel P Rosovsky

Eur J Haematol· December 2023

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Artificial intelligence for venous thromboembolism prophylaxis: Clinician perspectives.
Barbara D Lam, Sabrina Zerbey, Amanda Pinson, William Robertson, Rachel P Rosovsky

Res Pract Thromb Haemost· November 2023

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Evaluating equitable care in the ICU: Creating a causal inference framework to assess the impact of life-sustaining interventions across racial and ethnic groups.
Tristan Struja, João Matos, Barbara Lam, Yiren Cao, Xiaoli Liu

medRxiv· October 2023

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Updated COVID-19 clearance time among patients with cancer in the Delta and Omicron waves.
Zachary M Avigan, Rodrigo Paredes, Leora S Boussi, Barbara D Lam, Meghan E Shea

Cancer Med· August 2023

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Venous thromboembolism prophylaxis for hospitalized adult patients: a survey of US health care providers on attitudes and practices.
Barbara D Lam, Laura E Dodge, Siddhant Datta, Rachel P Rosovsky, William Robertson

Res Pract Thromb Haemost· August 2023

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A Patient-Centered Approach to Writing Ambulatory Visit Notes in the Cures Act Era.
Barbara D Lam, David Dupee, Macda Gerard, Sigall K Bell

Appl Clin Inform· January 2023

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A systematic review of federated learning applications for biomedical data.
Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D Lam, Sreekar Mantena

PLOS Digit Health· May 2022

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