Isabel specialises in the intersection of Artificial Intelligence (AI), clinical medicine and healthcare inequalities. She works part-time as an emergency doctor in addition to pursuing her PhD which focuses on supervised and unsupervised machine learning methods for bias mitigation in medical algorithms. She has experience in international settings both in her clinical work, and in policy settings at the United Nations. Clinically, she has worked in humanitarian and conflict areas in adult and paediatric emergency medicine. In international policy settings she has focused on the ethics of neurotechnology, artificial intelligence, reproductive technology and the impact of climate change on human civilisation. Her interests include AI and neurotechnology, healthcare disparities, global health, and gender-based violence. She has published work that highlights bias in medical algorithms, the role of AI in psychiatry, and the impact of technology on healthcare inequalities and gender-based abuse.
Help protect deep brain implants from malicious attacks! Following a case in our own hospital of a patient with a malfunctioning Deep Brain Stimulator (DBS), we want to improve our understanding of these technologies and their susceptibility to malicious hacks. This workshop will describe the medical case of a patient with a failing DBS, we will present the DBS system and we will ask you to hack into it! Help us improve patient neurosecruity by suggesting possible exploits and vulnerabilities.
Protect our patients from healthcare hacks! The increasing availability of telemetric medical devices has great potential to improve patient care. Yet, smart medical devices are hackable and previous case studies have described the life threatening implications of healthcare hacks. We invite you to a workshop run by doctors who are looking for your input on a series of commonly used telemetric medical technologies. Help us improve patient care by exploring potential vulnerabilities and solutions.