Faculty

Institution

Unit

Venue

Daniel Fabbri

Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

School of Medicine

Department of Biomedical Informatics

Daniel Fabbri is currently serving as a College Of Connected Computing Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science at Vanderbilt University.

Honors

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Experiences

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Education

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Daniel Fabbri

Vanderbilt University

Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science

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health informatics data science health sciences medicine machine learning biomedical informatics health technology emergency medicine health communication deep learning respiratory medicine health information science oncology natural language processing health care medical internet research data security informatics knowledge discovery medical systems sleep medicine cancer care machine learning research data privacy disease classification perioperative care crowdsourcing security audit patient portal messages databases semantic evaluation classification method ehealth biomedical text mining online information health systems cardiovascular research optical engineering social medium data medical technology comparative analysis information extraction social medium monitoring cancer treatment patient support large language models biomedical research semantic similarity social medium mining cerebrovascular disease blood pressure information security management security measurement endocrine oncology computer-aided diagnosis hepatorenal syndrome probabilistic language models scalable incident detection sleep stage scoring deep neural networks optical information processing neuroinformatics rule-based system data classification automatic classification scholarly communication brain tumor classification scalable framework transgender patients perioperative patient acuity automated determination breast cancer patients medication discontinuation online portal communications automated phenotyping algorithm discharge dates responsible data management clinical data information management healthcare information security medical privacy data protection information security data management

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improving U-Net Segmentation of Cutaneous Chronic Graft-Versus-Host Disease in Clinical Photographs With Semi-Supervised Training. Medical Imaging 2018: Computer-Aided Diagnosis (2025)

Andrew J. McNeilKelsey ParksMichael PogharianEdward W. CowenJulia S. LehmanStephanie J. LeeAaron ZhaoSteven Z. PavleticInga SaknīteJoseph R. CocoDaniel FabbriEric R. TkaczykBenoit M. Dawant

diagnosiscomputer-aided diagnosissemi-supervised trainingmedical image computingu-net segmentationclinical photographsmedical imagingdiagnostic imaginghealth sciences

Large Language Models Improve the Identification of Emergency Department Visits for Symptomatic Kidney Stones. Scientific Reports (2025)

Cosmin A. BejanAmy M. ReedMatthew MikulaSiwei ZhangYaomin XuDaniel FabbriPeter J. EmbíRyan S. Hsi

large language modelsmedicinesymptomatic kidney stonesemergency department visitslanguage models

Real-Time Automated Billing for Tobacco Treatment: Developing and Validating a Scalable Machine Learning Approach. JAMIA Open (2025)

cost-sensitive machine learningpredictive analyticscomputational intelligenceautomated machine learninghealth informaticsmachine learning researchcomputer sciencetobacco treatmentmachine learningdata sciencereal-time decision-makingmachine learning toolsdata-driven decision-makingartificial intelligencedigital medicinestatistics

Secondary Use of Radiological Imaging Data: Vanderbilt’s Imagevu Approach. Journal of Biomedical Informatics (2025)

biomedical imagingimagevu approachradiologydiagnostic imagingmedical imaging

Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations. Circulation (2024)

Megan M. ShueyYihua WangRachel R. XiangAaron ZouProtiva RahmanDaniel FabbriJoshua A. BeckmanIris Z. JaffeQuinn S. Wells

epidemiologycardiologybiomarker discoveryimmunologymurine investigationsgenome-wide association studiesbiomedical data integrationatherosclerosiscardiovascular diseasestatistics

Enhancing Postmarketing Surveillance of Medical Products With Large Language Models. JAMA Network Open (2024)

Michael E. MathenyJie YangJoshua C. SmithColin G. WalshMohammed A. Al-GaradiSharon E. DavisKeith A. MarsoloDaniel FabbriRuth R. ReevesKevin B. JohnsonGerald J. Dal PanRobert BallRishi J. Desai

large language modelsmedical products

Next Generation of Electronic Medical Record Search Engines to Support Chart Reviews: A Systematic User Study and Future Research Direction. Journal of Economy and Technology (2024)

Cheng YeDaniel Fabbri

health informaticseconomicssystematic user studytechnologyfuture research directiondata sciencehealth technology

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clinical Cancer Informatics (2024)

Levente LippenszkyKathleen F. MittendorfZoltán KissMichele L. LeNoue-NewtonPablo Napan-MolinaProtiva RahmanCheng YeBalázs LacziEszter CsernaiNeha M. JainMarilyn E. HoltChristina N. MaxwellMadeleine BallYufang MaMargaret B. MitchellDouglas B. JohnsonDavid S. SmithBen H. ParkChristine M. MicheelDaniel FabbriJan WolberTravis J. Osterman

cancer immunotherapyreal-world patient datamedicinehealth informaticsoncologyimmunotherapypharmacologypredictive toxicology

Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models. Scientific Reports (2024)

Colin G. WalshDrew WilimitisQingxia ChenAileen WrightJhansi KolliKatelyn RobinsonMichael A. RippergerKevin B. JohnsonDavid CarrellRishi J. DesaiAndrew MosholderSai DharmarajanSruthi AdimadhyamDaniel FabbriDanijela StojanovicMichael E. MathenyCosmin A. Bejan

health informaticsprobabilistic language modelsnatural language processinghospital medicinescalable incident detectionmachine learningpublic healthhealth sciencesdeep learningemergency medicine

Strengths, Weaknesses, Opportunities, and Threats of Using AI-Enabled Technology in Sleep Medicine: A Commentary. Journal of Clinical Sleep Medicine (2024)

Anuja BandyopadhyayMargarita OksHaoqi SunBharati PrasadSam RuskFelicia JeffersonRoneil Gopal MalkaniShahab HaghayeghRamesh SachdevaDennis HwangJon AgustssonEmmanuel MignotMichael SummersDaniel FabbriMaryann DeakMatthew AnastasiAndrew SampsonSteve Van HoutAzizi Seixas

ai-enabled technologysleep medicinetechnologymachine learningartificial intelligence

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Daniel Fabbri

Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science

Vanderbilt University

Affiliations

College of Connected Computing

Computer Science

Graduate School

Computer Science

School of Medicine

Department of Biomedical Informatics

Daniel Fabbri is currently serving as a College Of Connected Computing Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science at Vanderbilt University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Daniel Fabbri

Vanderbilt University

Assistant Professor of Biomedical Informatics Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Improving U-Net Segmentation of Cutaneous Chronic Graft-Versus-Host Disease in Clinical Photographs With Semi-Supervised Training. Medical Imaging 2018: Computer-Aided Diagnosis (2025)

Andrew J. McNeilKelsey ParksMichael PogharianEdward W. CowenJulia S. LehmanStephanie J. LeeAaron ZhaoSteven Z. PavleticInga SaknīteJoseph R. CocoDaniel FabbriEric R. TkaczykBenoit M. Dawant

diagnosiscomputer-aided diagnosissemi-supervised trainingmedical image computingu-net segmentationclinical photographsmedical imagingdiagnostic imaginghealth sciences

Large Language Models Improve the Identification of Emergency Department Visits for Symptomatic Kidney Stones. Scientific Reports (2025)

Cosmin A. BejanAmy M. ReedMatthew MikulaSiwei ZhangYaomin XuDaniel FabbriPeter J. EmbíRyan S. Hsi

large language modelsmedicinesymptomatic kidney stonesemergency department visitslanguage models

Real-Time Automated Billing for Tobacco Treatment: Developing and Validating a Scalable Machine Learning Approach. JAMIA Open (2025)

Secondary Use of Radiological Imaging Data: Vanderbilt’s Imagevu Approach. Journal of Biomedical Informatics (2025)

biomedical imagingimagevu approachradiologydiagnostic imagingmedical imaging

Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations. Circulation (2024)

Megan M. ShueyYihua WangRachel R. XiangAaron ZouProtiva RahmanDaniel FabbriJoshua A. BeckmanIris Z. JaffeQuinn S. Wells

epidemiologycardiologybiomarker discoveryimmunologymurine investigationsgenome-wide association studiesbiomedical data integrationatherosclerosiscardiovascular diseasestatistics

Enhancing Postmarketing Surveillance of Medical Products With Large Language Models. JAMA Network Open (2024)

Michael E. MathenyJie YangJoshua C. SmithColin G. WalshMohammed A. Al-GaradiSharon E. DavisKeith A. MarsoloDaniel FabbriRuth R. ReevesKevin B. JohnsonGerald J. Dal PanRobert BallRishi J. Desai

large language modelsmedical products

Next Generation of Electronic Medical Record Search Engines to Support Chart Reviews: A Systematic User Study and Future Research Direction. Journal of Economy and Technology (2024)

Cheng YeDaniel Fabbri

health informaticseconomicssystematic user studytechnologyfuture research directiondata sciencehealth technology

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clinical Cancer Informatics (2024)

cancer immunotherapyreal-world patient datamedicinehealth informaticsoncologyimmunotherapypharmacologypredictive toxicology

Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models. Scientific Reports (2024)

health informaticsprobabilistic language modelsnatural language processinghospital medicinescalable incident detectionmachine learningpublic healthhealth sciencesdeep learningemergency medicine

Strengths, Weaknesses, Opportunities, and Threats of Using AI-Enabled Technology in Sleep Medicine: A Commentary. Journal of Clinical Sleep Medicine (2024)

ai-enabled technologysleep medicinetechnologymachine learningartificial intelligence

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5
14
10 / page

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