{"id":3500,"date":"2024-09-06T14:22:11","date_gmt":"2024-09-06T12:22:11","guid":{"rendered":"https:\/\/semmelweis.hu\/transzlacios-medicina\/?p=3500"},"modified":"2024-09-06T14:22:11","modified_gmt":"2024-09-06T12:22:11","slug":"invitation-a-2-day-course-9-hours-26-27-september-2024-9-15-30-adam-hulman-hulman-adam-msc-phd","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/klinikai-korelettan\/2024\/09\/06\/invitation-a-2-day-course-9-hours-26-27-september-2024-9-15-30-adam-hulman-hulman-adam-msc-phd\/","title":{"rendered":"INVITATION \u2013 A 2-day course (9 hours) 26-27 September, 2024. 9-15.30 \u2013 Adam Hulman (Hulm\u00e1n \u00c1d\u00e1m), MSc, PhD"},"content":{"rendered":"

Machine learning with a clinical purpose – A no-code introduction to machine learning and artificial intelligence<\/strong><\/span><\/p>\n

A 2-day course (9 hours)<\/strong><\/p>\n

Date: 26-27 September, 2024. 9-15.30<\/strong><\/em><\/p>\n

Location: Johan B\u00e9la room, Department of Preventive Medicine and Public Health, 21st floor, NET Building, 1089 Budapest, Nagyv\u00e1rad t\u00e9r 4.<\/strong><\/em><\/p>\n

Registration until September 23, at<\/span> szentgyorgyi.hajnal@semmelweis.hu<\/span><\/strong><\/p>\n

Motivation<\/strong><\/p>\n

Machine learning (ML) and artificial intelligence (AI) are without doubt among the hottest topics in clinical research, a topic that also interests stakeholders and the public. Despite the promise of ML\/AI and the vast number of research articles about it in the medical literature (n~80,000 on PubMed in 2023), implementation of AI-based solutions in clinical practice are still sparse. One of the potential reasons is the lack of basic understanding of what problems ML can and what it cannot solve. This is partly due to a knowledge gap and language barrier between data science and clinical research. This course introduces topics in ML\/AI through examples from the clinical literature.<\/p>\n

Topics (preliminary plan)<\/strong><\/p>\n

\u00b7 Biostatistics vs. machine learning<\/p>\n

\u00b7 Development and evaluation of clinical prediction models<\/p>\n

\u00b7 Fundamental approaches in ML (e.g. tree-based methods, clustering)<\/p>\n

\u00b7 Introduction to deep learning (e.g. neural networks)<\/p>\n

\u00b7 Image analysis using deep learning<\/p>\n

\u00b7 Large language models and their clinical knowledge<\/p>\n

\u00b7 Perception of AI-based applications in healthcare<\/p>\n

\u00b7 Algorithmic fairness<\/p>\n

Topics will be introduced via lectures and guided group discussions.<\/p>\n

Learning outcomes<\/strong><\/p>\n

\u00b7 Understand the differences between traditional statistical methods and ML<\/p>\n

\u00b7 Unravel common misunderstandings about ML\/AI<\/p>\n

\u00b7 Cover fundamental concepts in ML\/AI (from basic to state-of-the-art) to provide a ‘springboard’ to more complex ML\/AI studies<\/p>\n

\u00b7 Critically evaluate clinical studies using ML and AI-based solutions in healthcare<\/p>\n

\u00b7 Discuss ethical and societal considerations of AI-based solutions in healthcare<\/p>\n

Speaker<\/strong><\/p>\n

Adam Hulman (Hulm\u00e1n \u00c1d\u00e1m), MSc, PhD<\/em><\/strong><\/p>\n

Senior Data Scientist, Steno Diabetes Center Aarhus, Aarhus University Hospital, DK<\/p>\n

Associate Professor, Deptartment of Public Health, Aarhus University, DK<\/p>\n

Adam has a Masters degree in applied mathematics and a PhD in diabetes epidemiology from the University of Szeged. Currently, he is the leader of the Machine Learning & Clinical Prediction Lab at Steno Diabetes Center Aarhus. His team\u2019s overarching goal is to turn health data into clinical insights and applications by using advanced statistical and machine learning methods. More specifically, the team works on the development and application of deep learning methods to be able to integrate clinical data of different types (tabular, images, time series, audio) in risk prediction of diabetic complications. He is committed to building bridges between the data science community, diabetes researchers and clinicians. Adam is an active academic citizen: steering committee member of the European Diabetes Epidemiology Group, chairman of the Danish Data Science Academy\u2019s Cross-academy Collaboration Committee, and and associate editor of Diabetologia. In 2024, he received the Danish Diabetes & Endocrine Academy Education & Networking Award for his outstanding engagement in diabetes research education and training of early-career researchers.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Machine learning with a clinical purpose – A no-code introduction to machine learning and artificial intelligence A 2-day course (9 hours) Date: 26-27 September, 2024. 9-15.30 Location: Johan B\u00e9la room, Department of Preventive Medicine and Public Health, 21st floor, NET Building, 1089 Budapest, Nagyv\u00e1rad t\u00e9r 4. Registration until September 23, at szentgyorgyi.hajnal@semmelweis.hu Motivation Machine learning …<\/p>\n","protected":false},"author":102048,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[65],"tags":[],"class_list":["post-3500","post","type-post","status-publish","format-standard","hentry","category-meghivok"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/posts\/3500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/users\/102048"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/comments?post=3500"}],"version-history":[{"count":1,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/posts\/3500\/revisions"}],"predecessor-version":[{"id":3501,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/posts\/3500\/revisions\/3501"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/media?parent=3500"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/categories?post=3500"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/klinikai-korelettan\/wp-json\/wp\/v2\/tags?post=3500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}