Intelligence Artificielle

THIS AI APPLICATION CAN ACCURATELY DETECT IF YOU HAVE COVID

A new smartphone app introduced at the seminar can detect Covid-19 in people’s voices using Machine Learning based Models.

The crucial role that healthcare plays in a prosperous, productive society makes it one of the most important industries in the larger big data environment. The use of AI in the healthcare industry can literally mean the difference between life and death. AI can help healthcare professionals including doctors, nurses, and others with their regular tasks. AI in healthcare can improve patient outcomes overall, improve preventative care and quality of life, and create a more precise diagnosis and treatment strategies. By examining data from the public sector, the healthcare industry, and other sources, AI can help forecast and monitor the development of contagious diseases. As a result, AI has the potential to be a key component of the global public health effort in the fight against pandemics and epidemics.

The use of machine learning (ML) algorithms and other cognitive technologies in healthcare are referred to as artificial intelligence (AI). AI can be defined simply as the ability of computers and other devices to replicate human cognition and to learn, think, and make decisions or take actions. Therefore, AI in healthcare refers to the application of machines to analyze and take action on medical data, frequently to forecast a specific outcome.

Researchers announced on Monday that a smartphone app can accurately identify Covid-19 infection in people’s voices using artificial intelligence (AI). The software can be utilized in low-income nations where PCR tests are expensive and/or challenging to deliver because, according to the team, it is cheaper, quicker, and easier to use than numerous antigen testing.

According to Wafaa Aljbawi, a researcher at the Institute of Data Science at Maastricht University in the Netherlands, “the encouraging results suggest that simple voice recordings and fine-tuned AI algorithms can potentially achieve high precision in determining which patients have Covid-19 infection.” Additionally, they support virtual, remote testing and have a turnaround time of under a minute. They could be utilized, for instance, at the entrances to huge gatherings to enable quick population screening, at the international congress of the European Respiratory Society in Barcelona, Spain, she added.

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Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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