PhD candidate 'Validation and Implementation of Commercially Available Artificial Intelligence Solutions in Healthcare'

PhD candidate 'Validation and Implementation of Commercially Available Artificial Intelligence Solutions in Healthcare'

Published Deadline Location
16 Nov 10 Dec Nijmegen

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Job description

We are seeking an ambitious PhD student to work on this three-year project, which should result in a PhD thesis. The goal of this PhD project is to bring more transparency in the field of commercially available AI solutions in healthcare. You will use our developed Project AIR framework to validate and compare more commercially AI products to provide insights into the performance of the products.

Another important part of the project is to develop and coordinate a national course aimed at healthcare professionals on AI for healthcare, how it works, what products are available, and what to keep in mind when evaluating and implementing AI products in healthcare. The course will consist of an online part and full-day workshops that will be held four times per year.

Furthermore, you will have the opportunity to explore the AI market beyond the field of radiology and expand the overview of commercially available products to other areas in healthcare.

Background
The number of AI products in healthcare, particularly in the field of medical imaging, is rapidly growing. There are over 200 products available for the radiology market, and platforms are emerging that lower the barrier for software developers to make their solutions widely available. However, to date, few of these AI products are being used in daily practice, despite many companies striving to gain a foothold in hospitals and radiology departments.

On the other hand, management boards and radiologists are struggling with identifying products that can improve healthcare, reduce workload, or cut costs. Solid studies validating AI products in radiology are scarce. Most studies have been funded by the industry, measuring the performance of a single algorithm, while ignoring integration into clinical workflows, time and cost savings, and cost-effectiveness analysis.

The ‘AI for Radiology’ platform, developed by Kicky van Leeuwen in her PhD project over the past few years, enables end-users to access an overview of the available products in the radiology market and provides transparency about their performance. Additionally, we have developed a framework, Project AIR, which allows us to conduct independent multi-vendor, multi-center comparisons of similar products.

Check for more information: DIAG vacancy

Specifications

Radboud University Medical Center (Radboudumc)

Requirements

You have a MSc degree (or equivalent) in (Technical) Medicine and a strong interest in Artificial Intelligence in Healthcare. Moreover you have excellent communication skills in English and the ability and willingness to work in an interdisciplinary research team.

Conditions of employment

Fixed-term contract: 3 years.

You will be appointed as a researcher at the Radboudumc, Department of Medical Imaging, with the standard salary and secondary conditions for clinical PhD students in the Netherlands. Your appointment is for three years. Your work is expected to lead to the thesis. The salary depends on education. Scale 10 will be offered to MSc medical graduates; those holding degrees in other disciplines will be offered scale 10A.

At Radboudumc, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:
  • A gross monthly salary between € 2.901 and € 3.677 (scale 10A) or between € 3.359 and € 5.292 (scale 10) based on full-time employment. You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus.
  • Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment. You can also share knowledge with colleagues through digital learning spaces – perfect for getting inspired and inspiring others.
  • Your well-being and vitality are a priority. For example, we have our own sports facilities and a Healthy Professionals program to help you manage your energy. And if you are going through a life-changing event, our Company Support Team and a personal coach are there to help you.
  • Support in achieving a good work-life balance at every stage of your life. This includes advice and training courses (from ‘Millennial Dilemmas’ to ‘Your Career After 57’), activities at our own mindfulness center, and informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
  • 168 holiday hours per year (23 days) based on a 36-hour working week.
  • The option of taking national holidays at other times of the year.
  • 26 weeks of parental leave, nine of which are paid.
  • A good collective pension scheme with a 70% reimbursement of your pension premium.
  • Discounts on health insurance and ten other types of insurance, from home insurance to legal assistance.
  • An allowance for your travel expenses or a working-from-home allowance of €2 per day.

Employer

Radboudumc

The Diagnostic Image Analysis Group (DIAG) is at the forefront of developments in AI for healthcare, with various in-house developed products already translated or in the process of being translated to the clinic. This project is a collaboration between clinical researchers of the Department of Medical Imaging of the Radboud University Medical Center, the Diagnostic Image Analysis Group, the Innovation Center for Artificial Intelligence and the start-up Health AI Register (the company started by Kicky van Leeuwen that pursues the continuation of AIforRadiology.com). You will also collaborate with other hospitals in our Dutch AI network, and the AI vendors to achieve the above goals.

Radboudumc
Welcome to Radboud university medical center (Radboudumc), where scientific breakthroughs are born through the curiosity and passion of our collaborating researchers in a vibrant environment. We believe trust and excitement are crucial elements to achieving our goals, and we approach our research as teams and with the utmost rigor to make a significant impact on health and healthcare. Our researchers are driven by their fascination with the biological, psychological, and sociological mechanisms underlying health and healthcare. They collaborate with partners from all over the world to improve health outcomes for all. Radboudumc unites patient care, research, education, and corporate learning, which allows us to approach our mission to shape the health and healthcare of the future in an innovative and person-centered way.

Our ambition is to lead the way in the pursuit of prevention, sustainability, meaningful care. We believe that through our research, we can significantly improve the health and well-being of society. Join us on our mission to make a difference in healthcare. Become a part of our community of gifted researchers, professionals or patient partners who are dedicated to making a real impact on population health and healthcare.

Read what it is like to do a PhD at the Radboud University Medical Center.

Specifications

  • PhD; Research, development, innovation
  • Natural sciences; Health
  • max. 36 hours per week
  • €2901—€5292 per month
  • University graduate
  • 189049-P1368807-1

Employer

Radboud University Medical Center (Radboudumc)

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Location

Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen

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