← Leaderboards
Oguz Akbilgic
University Of Washington
$2,970,046
Attributed
$4,165,651
Total exposure
3
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.3M · FY2022–25$2M$1.5M$1M$500K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$4,165,651 · 3
By mechanism
R01$3,963,889 · 2
R21$201,762 · 1
Top collaborators
- Melissa M Hudson5 shared
- Ali Azarbarzin2 shared
- Younghoon Kwon2 shared
Most similar at University Of Washington
Same institution · by research overlap
- Grace C John-Stewart$42,921,726
- Heidi M. Crane$25,961,202
- Carey Farquhar$27,772,472
- Dennis M Donovan$35,213,977
- Christine M Lee$12,658,517
Others in their field
Other Rising Stars on “Predictive Modeling”
- Heinz Ernst Moser · University Of Texas Med Br Galveston$12,973,432
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Colin Osborne · University Of Texas Med Br Galveston$10,407,745
- Sabrina Paganoni · Massachusetts General Hospital$9,673,541
Research focus
Predictive ModelingElectrocardiogramCardiovascular SystemMorbidity - Disease RateValidationDeep LearningRisk PredictionCohortLeft Ventricular Ejection FractionHeart FailureModalityArtificial IntelligenceCostMachine LearningPreservationEpidemiologyQuality Of LifeCardiologyAdultDiagnosisEarly DiagnosisParticipantArtificial Intelligence MethodLead
Grant awards (10)
ECG-AI Based Prediction and Phenotyping of Heart Failure with Preserved Ejection Fraction$581,981
R01 · FY2025 · HL · contact PI
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography$495,959
R01 · FY2025 · CA · contact PI
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography$38,234
R01 · FY2025 · CA · contact PI
ECG-AI Based Prediction and Phenotyping of Heart Failure with Preserved Ejection Fraction$548,339
R01 · FY2024 · HL · contact PI
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography$536,471
R01 · FY2024 · CA · contact PI
Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apnea$92,786
R21 · FY2024 · HL
ECG-AI Based Prediction and Phenotyping of Heart Failure with Preserved Ejection Fraction$711,375
R01 · FY2023 · HL · contact PI
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography$487,727
R01 · FY2023 · CA · contact PI
Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apnea$108,976
R21 · FY2023 · HL
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography$563,803
R01 · FY2022 · CA · contact PI