Viktor Toth

Viktor Tóth, MSc, is a Research Associate at the Institute of Bioelectronic Medicine at the Feinstein Institutes for Medical Research with expertise in neuroscience and deep learning. He is the lead author of 'Let Sleeping Patients Lie,' published in npj Digital Medicine in 2020, which developed a clinical deep learning model to safely avoid unnecessary overnight vital sign monitoring in approximately 50% of hospitalized patient-nights. His research encompasses clinical decision support systems and neural data analysis.

Research Projects

Point-of-care AI

Publications (5)

Nature CommunicationsTowards enhanced functionality of vagus neuroprostheses through in silico optimized stimulation

Brain StimulationOrgan- and function-specific anatomical organization of vagal fibers supports fascicular vagus nerve stimulation

npj Digital MedicineLet Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model

Proceedings of the IEEE Engineering in Medicine and Biology SocietySingle-axon level automatic segmentation and feature extraction from immunohistochemical images of peripheral nerves

Bioelectronic MedicineMachine learning to assist clinical decision-making during the COVID-19 pandemic