AI champions
What would it mean to shape your career with the influence of Artificial Intelligence?
We would like to provide more insight into this question by showcasing some real life examples of radiologists that augmented their career with AI capabilities. They all have a piece of advice for you to start thinking about your own career!
Listen to Luis:
Director of medical imaging & Research Group on biomedical imaging at La Fe Univ. Hosp., Valencia
Rethinks his career in relation to Science and Research
Rethinking the radiology career is mandatory because AI and DL have major impact on research initiatives. AI will soon have deeper impact on daily practice since AI is influencing the way we approach patients. We have to open our radiologist departments to physicists, data scientists, and engineers, allowing radiologists to participate better in research initiatives.
Although I am not trained in computer sciences, my understanding of the process allows me to lead an participate in all these initiatives!
His advice to you:
Face our bright future as leaders in computational imaging, transform and pave the link between imaging and clinical pathways
Radiologist (Paris), MSK , Master in Biomedical engineering, CMO of Gleamer AI startup
Rethinks his career in relation to AI development
The RSNA spotlight course (Université de Paris V) gave him "appetite to pivot a bit" and "upgrade career toward industry". His primary motivation is his passion to change the way radiologists work. The combination with clinical work gives him the ability to detect use cases for improving the work with AI.
His advice to you:
There is no need to become an AI engineer. The best way to learn is to collaborate with engineers, express your needs and integrate AI in your practice.
Listen to Nor-Eddine
Listen to Laurens
Radiologist at Netherlands Cancer Institute, Amsterdam
Rethinks his career in relation to Implementation
His interest in imaging informatics motivated him to educate himself during residency. In collaboration with MedTech companies, he currently combines clinical work with research towards a PhD in AI. His main motivations come from clinical experience, where he saw the potential for automation in the workflow and how AI can innovate the profession. He therefore want to play an active role and introduce AI in practice.
His advice to you:
Diversify your role as diagnostician since there is a need for innovation in every radiology department.
Radiologist, postgraduate research degree on prostate cancer; MRI segmentation with U-net Institute of Cancer Research, London
Rethinks his career in relation to Governance
Hugh decided to take a step out of medicine and developed his career further by working for Babylon health and the Career AI startup Kheiron (focused on breast screening). Currently he is the CEO of Hardian Health, a company that helps AI startups to market. He also gives professional advice to governmental institutions (e.g. UK parliament), academic committees and advisory groups. He focuses on the regulatory side like patenting and certification of AI startups.
His advice to you:
Take a step out of full-time or part-time clinical practice and try to gain experience by extending your services to early phase startups. Be actively engaged and see wwhere the road takes you!
Listen to Hugh
Listen to Laurens
Principle for Clinical AI/ML at Amazon Web Services, affiliate position at UCSF, Stanford and Duke
Rethinks his career in relation to Education
A radiologist by heart, Matthew took it upon himself to collaborate with computer scientists to teach others about the promises of AI in healthcare. With his rich experience as an Adjunct Professor at Duke University, Associate professor at Stanford University and Associate Clinical Professor at the university of California, he guides others in developing competencies in both healthcare and machine learning concepts and principles at Coursera.
His advice to you:
Seek for multidisciplinary collaborations and focus on problems that are beneficiary for patients and systems oas a whole.