Artificial Intelligence and COVID-19: new research project between HL Learning Health, IST and INESC-ID
The goal is to create AI models to assist in the analysis of thoracic radiographies in patients in a context of emergency.
A consortium integrating Hospital da Luz Learning Health, Instituto Superior Técnico (IST) and INESC-ID has an innovative project in progress, with the purpose of developing a solution composed of artificial intelligence (AI) models for the analysis of thoracic radiographies undertaken by patients in hospital emergency units, estimating the probability of presenting the characteristics of covid-19 infection. In case of high probability, the models enable to estimate the degree of severity of the disease.
The early identification and characterization of patients with covid-19 in emergency units is crucial to provide the best health care, the thoracic radiography being a complementary global means of diagnosis, which is fast and easy to perform. The creation of these AI models, applied to the analysis of thoracic radiographies in patients in emergency units, assists, in combination with further clinical data, the medical professionals in the detection of suspected cases of covid-19.
The aim is to respond to the following needs:
- Optimize the work of radiologists, identifying and prioritizing in work schedule those radiographies suspected of covid-19;
- Assist physicians of other specialties in the context of emergency, when radiologists are not available, with a tool for the analysis of thoracic radiographies;
- Simplify the decision making for health professionals in the definition of the clinical protocol.
This project is being developed by a multidisciplinary team of radiologists, physicians from the emergency services of Hospital da Luz Lisboa and Hospital Beatriz Ângelo, specialists in ergonomics and human factors, researchers in the areas of machine learning and artificial intelligence, specialists in information systems and managers. The project is financed under the program Portugal 2020 and results will be presented during the first semester of 2021.
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.