Sessions

This study has the overall aim to study physicians’ experiences of VCs, here focusing on their suggestions for future improvements. Twenty-two semi-structured interviews were performed with physicians working for an online healthcare provider in Sweden, and analyzed through inductive content analysis. Two themes emerged related to desired future improvements of VCs; blended care and technical innovation.

Traditional sample size estimation for sufficient model performance is not applicable for machine learning, especially in the field of electrocardiograms (ECGs). This presentation outlines a sample size estimation strategy for binary classification problems on ECGs. The post-hoc sample size estimations are based on a benchmark across different architectures and different classification targets. The results indicate trends for required sample sizes for given tasks and architectures, which can be used as orientation for future ECG studies or feasibility aspects.

It is of utmost importance to understand better the requirements for a Digital Therapeutics (DTx) design and trial service that supports the design of DTx and their efficient evaluation via feasibility studies, optimization trials (e.g., micro-randomized trials), efficacy or effectiveness trials (e.g., randomized controlled trials). This workshop has, therefore, the objective of gathering such requirements by applying the World Café methodology and discussing several complex care scenarios. We welcome participants with various backgrounds (e.g., technical, regulatory, medical, ethical) who bring in different perspectives.

Why is AI proving more of a challenge in Healthcare than other industries?  AI has been promoted as the saviour of medicine yet has failed to make the difference many predicted. Here in this presentation we will explore how AI has changed the potential for healthcare and the barriers that are still faced.

Women's health technology (femtech) is a burgeoning industry that seeks to develop personalized health solutions for individuals identifying as female. From menstruation and maternal healthcare to longevity and chronic care platforms, the global femtech market is anticipated to be worth over $50 billion by 2025. Yet, most digital health companies entering the femtech market fail to prioritize three crucial aspects to their products and businesses: (i) accuracy, (ii) privacy and security, and (iii) scalability. This presentation provides a roadmap to the key legal and ethical challenges facing women's health companies, and offers solutions to ensure these companies build robust and internationally scalable businesses that are capable of driving long-term innovation in women's health. 

A lecture that is 100% generated and held by an AI? A few years ago that might have sounded like a science fiction scenario, but with the current tools such as Replika, GPT-3, DALL-E, MidJourney and more, AI content is being produced in a very high speed. In this lecture, a combination of AI techniques will be used to generate a lecture, fully held by the AI avatar ANDI about what the various algorithms think about the advancement of AI in health care for diagnosis, treatment and support.