Predicting Patient Outcomes
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Benchmarks
Most implemented
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
Predicting Patient Outcomes with Graph Representation Learning
Papers
JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication
Recent studies have shown that spatial properties of tumors are critical for understanding disease biology and predicting patient outcomes. These spatial properties are increasingly uncovered through complementary modali…
Predicting Patient OutcomesRepresentation LearningEnhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation
Survival analysis based on Whole Slide Images (WSIs) is crucial for evaluating cancer prognosis, as they offer detailed microscopic information essential for predicting patient outcomes. However, traditional WSI-based su…
Predicting Patient OutcomesExplainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers
Carbapenemase-Producing Enterobacteriace poses a critical concern for infection prevention and control in hospitals. However, predictive modeling of previously highlighted CPE-associated risks such as readmission, mortal…
Predicting Patient OutcomesTime-Aware Attention for Enhanced Electronic Health Records Modeling
Electronic Health Records (EHR) contain valuable clinical information for predicting patient outcomes and guiding healthcare decisions. However, effectively modeling Electronic Health Records (EHRs) requires addressing d…
Predicting Patient OutcomesUncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
Brain tumor resection is a highly complex procedure with profound implications for survival and quality of life. Predicting patient outcomes is crucial to guide clinicians in balancing oncological control with preservati…
Predicting Patient OutcomesFeature EngineeringIntelligent Histology for Tumor Neurosurgery
The importance of rapid and accurate histologic analysis of surgical tissue in the operating room has been recognized for over a century. Our standard-of-care intraoperative pathology workflow is based on light microscop…
Predicting Patient Outcomes