A5048585602- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
- AI in cancer detection
- Generative Adversarial Networks and Image Synthesis
- Explainable Artificial Intelligence (XAI)
- Artificial Intelligence in Healthcare
- Artificial Intelligence in Healthcare and Education
ETH Zurich
2020-2021
Board of the Swiss Federal Institutes of Technology
2020
Max Planck Institute for Intelligent Systems
2020
COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk exceeding their capacities, in particular terms SARS-CoV-2 tests, hospital and intensive unit (ICU) beds, mechanical ventilators. Predictive algorithms could potentially ease strain on identifying those who most likely receive positive test, be hospitalized, or admitted ICU.The aim this study develop, study, evaluate...
Abstract Privacy concerns around sharing personally identifiable information are a major barrier to data in medical research. In many cases, researchers have no interest particular individual’s but rather aim derive insights at the level of cohorts. Here, we utilise generative adversarial networks (GANs) create imaging datasets consisting entirely synthetic patient data. The images ideally have, aggregate, similar statistical properties those source dataset do not contain sensitive personal...
<sec> <title>BACKGROUND</title> COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk exceeding their capacities, in particular terms SARS-CoV-2 tests, hospital and intensive unit (ICU) beds, mechanical ventilators. Predictive algorithms could potentially ease strain on identifying those who most likely receive positive test, be hospitalized, or admitted ICU. </sec>...
Privacy concerns around sharing personally identifiable information are a major practical barrier to data in medical research. However, many cases, researchers have no interest particular individual's but rather aim derive insights at the level of cohorts. Here, we utilize Generative Adversarial Networks (GANs) create derived imaging datasets consisting entirely synthetic patient data. The images ideally have, aggregate, similar statistical properties those source dataset do not contain...
Coronavirus Disease 2019 (COVID-19) is a rapidly emerging respiratory disease caused by the severe acute syndrome coronavirus 2 (SARS-CoV-2). Due to rapid human-to-human transmission of SARS-CoV-2, many healthcare systems are at risk exceeding their capacities, in particular terms SARS-CoV-2 tests, hospital and intensive care unit (ICU) beds mechanical ventilators. Predictive algorithms could potentially ease strain on identifying those who most likely receive positive test, be hospitalised...