Jennifer Ahjin Kim, MD/PhD
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About
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Assistant Professor
Biography
Dr. Kim is a critical care neurologist with expertise in quantitative analysis of critical care electroencephalography and neuroimaging. Dr. Kim graduated from Brown University for her undergraduate and M.D.-Ph.D. degrees. She completed her residency in Neurology followed by a neurocritical care fellowship at Massachusetts General and Brigham & Women's Hospitals.
Dr. Kim is dedicated to advancing the early diagnosis and treatment of patients with devastating neurologic injury who are at highest risk for short and long-term complications. Dr. Kim is applying novel computational methods to the data gathered within the neurologic intensive care unit to predict patients who are at high risk for further injury. Her ultimate goal is to use these predictions to optimize treatment strategies which prevent these complications.
Appointments
Neurology
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Fellow: Neurocritical Care
- Massachusetts General Hospital/Brigham & Women's Hospital (2019)
- Resident
- Massachusetts General Hospital/Brigham & Women's Hospital (2016)
- Intern
- Brigham and Women's Hospital (2012)
- MD/PhD
- Brown University, Medicine/Neuroscience (2012)
- ScB
- Brown University, Neuroscience (2004)
Research
Overview
Medical Research Interests
Biomarkers; Brain Hemorrhage, Traumatic; Cerebral Hemorrhage; Critical Care; Electroencephalography; Epilepsy; Machine Learning; Neuroimaging; Neurology; Neurosciences; Secondary Prevention; Seizures; Stroke; Subarachnoid Hemorrhage
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Kim Lab
Research at a Glance
Yale Co-Authors
Frequent collaborators of Jennifer Ahjin Kim's published research.
Publications Timeline
A big-picture view of Jennifer Ahjin Kim's research output by year.
Research Interests
Research topics Jennifer Ahjin Kim is interested in exploring.
Guido J. Falcone, MD, ScD, MPH
Lawrence Hirsch, MD
Lauren Hachmann Sansing, MD, MS, FAHA, FANA
Matthew Yuen
Joseph Schindler, MD
Sacit Bulent Omay, MD, FAANS
48Publications
1,370Citations
Electroencephalography
Subarachnoid Hemorrhage
Epilepsy
Seizures
Stroke
Cerebral Hemorrhage
Publications
Featured Publications
Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy
Chen Y, Li S, Ge W, Jing J, Chen HY, Doherty D, Herman A, Kaleem S, Ding K, Osman G, Swisher CB, Smith C, Maciel CB, Alkhachroum A, Lee JW, Dhakar MB, Gilmore EJ, Sivaraju A, Hirsch LJ, Omay SB, Blumenfeld H, Sheth KN, Struck AF, Edlow BL, Westover MB, Kim JA. Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy. Journal Of Neurology Neurosurgery & Psychiatry 2022, 94: 245-249. PMID: 36241423, PMCID: PMC9931627, DOI: 10.1136/jnnp-2022-329542.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsPost-traumatic epilepsyTraumatic brain injuryCT abnormalitiesElectroencephalography featuresAdmission Glasgow Coma Scale scoreGlasgow Coma Scale scoreRetrospective case-control studyMultivariable logistic regression analysisRisk stratification modelCase-control studyLogistic regression analysisTBI admissionsSevere complicationsFuture trialsBrain injuryCT reportsSeizure diagnosisPredictive valueScale scorePatientsLogistic regressionStratification modelQuantitative electroencephalogramTBI mechanismsRegression analysisAutomated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage
Zheng WL, Kim JA, Elmer J, Zafar SF, Ghanta M, Moura V, Patel A, Rosenthal E, Westover M. Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology 2022, 143: 97-106. PMID: 36182752, PMCID: PMC9847346, DOI: 10.1016/j.clinph.2022.08.023.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMultiple EEG featuresEEG featuresInformative featuresPrediction algorithmSubarachnoid hemorrhageBetter performanceNon-DCI patientsMachineCerebral ischemiaDCI riskAlpha-delta ratioAneurysmal subarachnoid hemorrhageUtility of electroencephalographyReceiver operator curveFeaturesDCI predictionAlgorithmDCI onsetSAH patientsShannon entropyDay 5Whole brainAlpha variabilityPatientsPredictionDevelopment and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports
Torres-Lopez VM, Rovenolt GE, Olcese AJ, Garcia GE, Chacko SM, Robinson A, Gaiser E, Acosta J, Herman AL, Kuohn LR, Leary M, Soto AL, Zhang Q, Fatima S, Falcone GJ, Payabvash MS, Sharma R, Struck AF, Sheth KN, Westover MB, Kim JA. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports. JAMA Network Open 2022, 5: e2227109. PMID: 35972739, PMCID: PMC9382443, DOI: 10.1001/jamanetworkopen.2022.27109.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNatural language processingF-scoreTest data setsLanguage processingIndependent test data setsData setsBidirectional Encoder RepresentationsAcute brain injuryLarge data setsHead CTBrain injuryNLP toolsF1 scoreNER modelTransformer architectureClinical textEncoder RepresentationsNLP algorithmNLP modelsCT reportsCustom dictionaryTraining setCross-validation performancePerformance metricsAvailable new toolsCombining Transcranial Doppler and EEG Data to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage
Chen HY, Elmer J, Zafar SF, Ghanta M, Moura Junior V, Rosenthal ES, Gilmore EJ, Hirsch LJ, Zaveri HP, Sheth KN, Petersen NH, Westover MB, Kim JA. Combining Transcranial Doppler and EEG Data to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage. Neurology 2021, 98: e459-e469. PMID: 34845057, PMCID: PMC8826465, DOI: 10.1212/wnl.0000000000013126.Peer-Reviewed Original ResearchCitationsAltmetricHospital Revisits for Post-Ischemic Stroke Epilepsy after Acute Stroke Interventions
Kuohn LR, Herman AL, Soto AL, Brown SC, Gilmore EJ, Hirsch LJ, Matouk CC, Sheth KN, Kim JA. Hospital Revisits for Post-Ischemic Stroke Epilepsy after Acute Stroke Interventions. Journal Of Stroke And Cerebrovascular Diseases 2021, 31: 106155. PMID: 34688213, PMCID: PMC8766898, DOI: 10.1016/j.jstrokecerebrovasdis.2021.106155.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsIschemic stroke survivorsIV-tPADecompressive craniectomyHospital revisitsStroke survivorsAcute stroke interventionAcute ischemic strokeAcute stroke careProportional hazards regressionImpact of therapyHistory of epilepsyAcute seizuresHospital seizuresIschemic strokeStroke severityPrimary outcomeStroke interventionStroke treatmentStroke careHazards regressionMultivariable modelRetrospective analysisCumulative rateClaims dataPatientsFocused Management of Patients With Severe Acute Brain Injury and ARDS
Kim JA, Wahlster S, LaBuzetta JN, Nobleza COS, Johnson NJ, Rubinos C, Malaiyandi D, O'Phelan KH, Mainali S, Sarwal A, Gilmore EJ. Focused Management of Patients With Severe Acute Brain Injury and ARDS. CHEST Journal 2021, 161: 140-151. PMID: 34506794, PMCID: PMC8423666, DOI: 10.1016/j.chest.2021.08.066.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSevere acute brain injuryAcute brain injuryBrain injuryTreatment strategiesHigh-acuity patient populationMainstay of treatmentHypothetical case scenariosSevere ARDSConcurrent diseasesPatient populationTreatment decisionsARDSConcomitant managementLung physiologyTreatment conceptNarrative reviewConcomitant occurrenceSimultaneous managementPatientsCOVID-19 pandemicInjuryNoninvasive monitoringFocused managementPhysiological basisManagementThe Utility of Quantitative EEG in Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage
Baang HY, Chen HY, Herman AL, Gilmore EJ, Hirsch LJ, Sheth KN, Petersen NH, Zafar SF, Rosenthal ES, Westover MB, Kim JA. The Utility of Quantitative EEG in Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage. Journal Of Clinical Neurophysiology 2021, 39: 207-215. PMID: 34510093, PMCID: PMC8901442, DOI: 10.1097/wnp.0000000000000754.Peer-Reviewed Original ResearchCitationsAltmetricHolding Out Hope After Traumatic Brain Injury
Kim JA, Sheth KN. Holding Out Hope After Traumatic Brain Injury. JAMA Neurology 2021, 78: 522-524. PMID: 33646278, DOI: 10.1001/jamaneurol.2020.5328.Peer-Reviewed Original ResearchCitationsAltmetricMeSH KeywordsHigh epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage
Kim JA, Zheng WL, Elmer J, Jing J, Zafar SF, Ghanta M, Moura V, Gilmore EJ, Hirsch LJ, Patel A, Rosenthal E, Westover MB. High epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology 2021, 141: 139-146. PMID: 33812771, PMCID: PMC8429508, DOI: 10.1016/j.clinph.2021.01.022.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsED burdenSubarachnoid hemorrhageEpileptiform dischargesCerebral ischemiaSAH patientsHigh riskOnset of DCIMajor risk periodContinuous EEG recordingsDCI patientsDCI riskRetrospective analysisNovel biomarkersGroup-based trajectory analysisRisk periodPatientsDay 3.5DCIBurdenHemorrhageIschemiaRiskEEG recordingsBurden rateUseful parameterDevelopment of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation
Jing J, Sun H, Kim JA, Herlopian A, Karakis I, Ng M, Halford JJ, Maus D, Chan F, Dolatshahi M, Muniz C, Chu C, Sacca V, Pathmanathan J, Ge W, Dauwels J, Lam A, Cole AJ, Cash SS, Westover MB. Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation. JAMA Neurology 2020, 77: 103-108. PMID: 31633740, PMCID: PMC6806668, DOI: 10.1001/jamaneurol.2019.3485.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
Clinical Trials
Current Trials
Biomarker and Edema Attenuation in IntraCerebral Hemorrhage (BEACH)
HIC ID2000031665RoleSub InvestigatorPrimary Completion Date12/01/2025Recruiting ParticipantsGenderBothAge18+ yearsBrain Oxygen Optimization in Severe TBI, Phase 3 (BOOST3)
HIC ID2000024956RoleSub InvestigatorPrimary Completion Date07/01/2023Recruiting ParticipantsGenderBothAge14+ yearsAnticoagulation for Stroke Prevention and Recovery After ICH (ASPIRE)
HIC ID2000026409RoleSub InvestigatorPrimary Completion Date04/30/2024Recruiting ParticipantsGenderBothAge18+ years
Clinical Care
Overview
Jennifer Kim, MD, PhD, is a neurologist who specializes in neurocritical care. She says caring for patients and their families is the most rewarding part of her job.
“I love being able to help treat the sickest neurologically injured patients and to do my best to help them towards recovery,” says Dr. Kim, who treats numerous conditions, including traumatic brain injury, subarachnoid hemorrhage, brain hemorrhage, hemorrhagic stroke, status epilepticus, and ischemic stroke.
“Brain injuries are often very sudden and leave both patients and families having to grapple very quickly with an altered level of function and even awareness,” she says. “I value helping these patients, their families and doing research so that we can continuously strive to improve our care of future patients.”
Clinical Specialties
Neurology; Neurocritical Care
Board Certifications
Neurology
- Certification Organization
- AB of Psychiatry & Neurology
- Original Certification Date
- 2016
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