{"id":29299,"date":"2022-01-06T15:47:17","date_gmt":"2022-01-06T14:47:17","guid":{"rendered":"https:\/\/semmelweis.hu\/english\/?p=29299"},"modified":"2022-01-06T15:47:17","modified_gmt":"2022-01-06T14:47:17","slug":"postgraduate-course-series-on-data-driven-health-launched-by-the-faculty-of-public-services","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/english\/2022\/01\/postgraduate-course-series-on-data-driven-health-launched-by-the-faculty-of-public-services\/","title":{"rendered":"Postgraduate course series on data-driven health launched by the Faculty of Public Services"},"content":{"rendered":"
The postgraduate course entitled \u201cData driven health-Artificial intelligence in healthcare\u201d has been launched by the Health Management Training Center (EMK) of the Faculty of Public Services (EKK) of Semmelweis University. The course was designed specially to give a thorough introduction to the possible applications of artificial intelligence in healthcare.<\/div>\n

The courses have been implemented on eight locations through the \u201cThematic Excellence program\u201d with active collaboration of EKK, EMK, the 2nd Department of Pathology of Semmelweis University, NATUK and the ELTE Institute of Physics. Medical practitioners participating in the program could earn up to 4 or 8 educational credits upon completing the course.<\/p>\n

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The lectures gave an insight into various topics, such as the EKK and EMK\u2019s research-development activities within the field of data-driven healthcare and the legal and cybersecurity aspects of introducing AI applications. The speakers of the event presented the latest results and findings in the two major areas within the field of public health: mammography and colonoscopy.<\/p>\n<\/div>\n

The event provided a great opportunity for participants to discuss the topics of the presentations with the lecturers.<\/p>\n

Dr. Mikl\u00f3s Sz\u00f3cska (dean of the Faculty of Public Health, head of the Health Management Training Center) held a presentation about the importance of data, the concept of artificial intelligence (AI) and its role in public health.<\/p>\n

\u201cThis postgraduate course series is particularly relevant, as we are currently on the way heading to a paradigm shift. Our purpose was to introduce the possible future use of artificial intelligence in healthcare. We also managed to outline how the different fields and disciplines of healthcare will be able to cooperate in the future. We also dispelled some of the myths, namely that AI can displace human labor and highlighted the fact, that AI may help in automatizing and making human knowledge more accessible. Another main objective of the pilot program was to improve the collaboration and sharing of data with others \u2013 added dr. Sz\u00f3cska.<\/p>\n

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Dr. Sz\u00f3cska also added that the technological assessment of artificial intelligence may take up to ten years, however with the help of AI we are already able to filter out false diagnoses at healthcare centers where AI is available to use. According to dr. Sz\u00f3cska, in respect of the patient safety aspect, artificial intelligence is ready to be implemented in healthcare.<\/p>\n<\/div>\n

\u201cUpon the start of the project we shifted the focus on nationwide screening programs, as the doctors are working under huge pressure. It would help healthcare professionals tremendously if we could establish a prescreening system\u201d \u2013 added dr. Andr\u00e1s Kiss. Dr. Kiss (head of the 2nd Department of Pathology) also highlighted the fact that the artificial intelligence project is aimed to improve the efficiency of pathological capacity. He also pointed out that artificial intelligence based systems won\u2019t make a decision instead of a person, but they could help considerably improving the decision making process. AI systems could also adapt to all important areas. \u201cOne of the advantages of AI systems is that it doesn\u2019t get tired and wear out easily and it can minimize the risk of making mistakes.”<\/p>\n

Dr. Endre Kontsek (PhD student of the 2nd Department of Pathology) held a lecture about the decision support of artificial intelligence in colorectal cancer screening. With the help of a video footage, he illustrated the annotation process, where 16 pathologists performed scans of approximately 2300 sections within the period of a year. The data was later sent to data scientists, who used AI algorithms to process the obtained results. Artificial intelligence is able to perform assessment of these sections with the help of the provided data.\u00a0<\/p>\n

Adri\u00e1n Pesti (student of the 2nd Department of Pathology) gave a presentation about digital pathology, dr. Tam\u00e1s Palicz (strategic deputy director of EMK) held a presentation on artificial intelligence data protection and cybersecurity.<\/p>\n

Alex Olar and Istv\u00e1n M\u00e1rkusz, students from the ELTE TTK Institute of Physics talked about the application of artificial intelligence in healthcare from the perspective of machine learning.<\/p>\n

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\u201cArtificial intelligence algorithms help us to assign images to different categories. This enables us to perform pre-screening\u201d \u2013 added Alex Olar. He added that recently a number of clinics have already begun implementing digitalization in healthcare, as they recognized that digitalization may facilitate the process of diagnostics.<\/p>\n<\/div>\n

Dr. Krisztina Davidovics (expert of EMK) gave a talk on the legal aspects of the implementation of artificial intelligence. The pilot program (as it is a well-regulated environment) may become an ideal basis for further technological development from the legislative point of view. Dr. Davidovics mentioned that one of the major regulatory issues is the implementation of artificial intelligence based decision support tools in the daily working practice.<\/p>\n

The courses are set to continue in spring 2022.<\/p>\n

D\u00f3ra Horv\u00e1th
\nFeatured image (illustration) G\u00e1bor Ancsin<\/p>\n

Translation: Norbert Luk\u00e1cs<\/p>\n","protected":false},"excerpt":{"rendered":"

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