Challenges and Opportunities for Artificial Intelligence in Healthcare

Artificial intelligence (AI) is rapidly progressing and has the potential to reduce mortality, morbidity, and healthcare costs by improving diagnostic accuracy and screening efficiency. Multiple recent studies have demonstrated the ability of AI algorithms to match, if not outperform, clinicians in the diagnosis of several diseases. It becomes clear that artificial intelligence will play an important role in the medicine of the future, and the use cases can come in different forms: from the use of AI as a diagnostic tool to the optimization of the internal management and logistics of a hospital. In this webinar, we will present the current state of artificial intelligence and review some healthcare applications. We will also try to showcase the current gaps that this technology has to overcome until we have successful deployment of AI in healthcare. Marc Combalia, an Artificial Intelligence Research Project Engineer working at Hospital Clínic de Barcelona in close collaboration with AASA Inc., graduated in Telecommunications Science and Technology with an MSc in Telecommunications Engineering. His master thesis is titled “A Deep Learning Approach for Histological Image Classification” and had held several seminars on the topic of Deep Learning. He has a wide experience in research on computer vision and artificial intelligence, especially on the applications of artificial intelligence in the biomedical field with an emphasis on deep learning techniques.