Could artificial intelligence predict the outcomes of patients with TBI in real time?

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In a collaboration project between Helsinki University Hospital (HUS), Kuopio University Hospital and Turku University Hospital (all Finland), a team of researchers have presented the first artificial intelligence (AI) based algorithm that has the potential to assist in treating patients with severe TBI in intensive care units (ICUs). Patients with the most severe cases of TBI are usually treated in ICUs, however, despite the high-quality care, recent observational studies have reported mortality rates of approximately 30%. Patients who suffer from severe TBI are unconscious, therefore, it is a challenge to accurately monitor their condition. In ICUs many tens of variables, such as intercranial pressure and mean arterial pressure, are continuously monitored to assess the patient's condition. One variable alone could yield hundreds of thousands of data points per day, making it impossible for ICU staff to fully analyze.


Artificial intelligence-based algorithm for intensive care of traumatic brain injury

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A recent Finnish study published in Scientific Reports presents the first artificial intelligence (AI)-based algorithm designed for use in intensive care units for treating patients with severe traumatic brain injury. The project is a collaborative project between three Finnish university hospitals: Helsinki University Hospital, Kuopio University Hospital and Turku University Hospital. Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies. Patients that suffer from severe TBI are unconscious, which makes it challenging to accurately monitor the condition of the patient during intensive care.


Artificial intelligence-based algorithm for intensive care of traumatic brain injury

#artificialintelligence

A recent Finnish study published in Scientific Reports presents the first artificial intelligence (AI)-based algorithm designed for use in intensive care units for treating patients with severe traumatic brain injury. The project is a collaborative project between three Finnish university hospitals: Helsinki University Hospital, Kuopio University Hospital and Turku University Hospital. Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies. Patients that suffer from severe TBI are unconscious, which makes it challenging to accurately monitor the condition of the patient during intensive care.


AI and Ownership for Educators OEB

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Jari Multisilta is the director of Cicero Learning Network in the University of Helsinki, Finland and the professor of multimedia at the Tampere University of Technology, Information Technology at Pori, Finland. He did his doctoral thesis on hypermedia based learning environments for mathematics. Prof. Multisilta has studied learning and modern communication and information technologies and has taken part in several research projects on this area. Currently, his research interests include games for learning, mobile video storytelling, and mobile social video applications. Professor Multisilta has published over 100 international conference papers and journal articles on his research area.


Rolls-Royce to Open Centre for Autonomous Ships and AI

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Rolls-Royce's new centre will see it partner with the Technical Research Centre of Finland (VTT) and Tampere University of Technology (TUT), together with numerous SMEs and start-ups specialising in novel technologies. The aim of the alliance, an ecosystem bringing together global forerunners and agile ICT start-ups, is to provide the world's first autonomous maritime products, services and a flourishing ecosystem by 2025. Sauli Eloranta, SVP of Rolls-Royce, said: "Finland is the home of top ICT expertise and a strong maritime cluster. That is why Rolls-Royce has decided to establish the centre in Turku." The Finnish Funding Agency for Innovation (Tekes) is committed to funding the work of the Alliance, its ambitious research and development projects, and its innovations in order to achieve the aim of remotely operated and autonomous shipping in the forthcoming years.