A device using artificial intelligence is being developed for the early detection of melanoma

Photo by 123rf.com

A device using artificial intelligence is being developed for the early detection of melanoma with the help of the staff of the Computer Science and Automation Research Institute (SZTAKI).

IToBoS is a research project funded by the European Union’s (EU) Horizon 2020 research and innovation program, which aims to creation of a new diagnostic tool for the early detection of melanoma that utilizes all available information about the patient – can be read in the SZTAKI communication.

“This so-called holistic assessment tool needs to understand the specific characteristics of each patient, paving the way for personalized early detection of melanoma.” – added in the communication.

Within the general category of skin cancers, melanoma causes the most deaths. According to the latest statistics, skin melanoma is currently the sixth most common cancer in Europe, with more than 144,000 new cases diagnosed in 2018.

Melanoma can be cured if treated at an early stage. In this case, more than 90 percent of melanoma patients are still alive after 5 years. If the cancer cells have spread (metastatic melanoma), the proportion of patients alive after 5 years is 23 percent or less. Therefore, rapid diagnosis is essential for treatment to take place before local and metastatic spread, they wrote.

The goal of the iToBoS project is to create an artificial intelligence (MI) system capable of integrating information from a variety of sources, from dermoscopic images to complete medical records to genomic data.

A new diagnostic tool is being developed in the iToBoS project, as well as a cognitive assistant using MI. With these tools, healthcare professionals will be able to make a comprehensive, patient-specific diagnosis of skin cancer, and melanoma will be more recognizable. “In this large-scale international project, our researchers can leverage their experience in data management, IT clouds and artificial intelligence to date.” – quoted Róbert Lovas, Deputy Director of the Computer Science and Automation Research Institute (SZTAKI) of the ELKH.

The new diagnostic tool also uses the latest advances in artificial intelligence to thereby facilitating data already extracted with currently available technologies (dermoscopic images), and the use of data obtained with new hardware recommended in iToBoS.

The underlying algorithms will integrate additional patient information from different sources (such as patient history, genomics, location of all moles, age, etc.) to provide a comprehensive, holistic assessment of each mole, taking into account individual patient characteristics.

By systematically examining the patient systematically, the system will also be able to determine changes in each mole. This is considered one of the most informative features in recognizing skin cancer. With the proposed new approach, physicians can diagnose skin conditions earlier and with greater accuracy, thereby increasing the efficiency and effectiveness of personalized clinical decision-making.

The consortium of 19 partner organizations is led by the University of Girona (Spain). The duration of the project is 48 months (April 1, 2021 – March 31, 2025), with a total budget of EUR 12 million, SZTAKI said.

Source: Patika Magazin Online by www.patikamagazin.hu.

*The article has been translated based on the content of Patika Magazin Online by www.patikamagazin.hu. If there is any problem regarding the content, copyright, please leave a report below the article. We will try to process as quickly as possible to protect the rights of the author. Thank you very much!

*We just want readers to access information more quickly and easily with other multilingual content, instead of information only available in a certain language.

*We always respect the copyright of the content of the author and always include the original link of the source article.If the author disagrees, just leave the report below the article, the article will be edited or deleted at the request of the author. Thanks very much! Best regards!