Technical Reports

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https://hdl.handle.net/20.500.14417/3286

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Browsing Technical Reports by Author "Ahmad, Saif"

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    Case Study 2: The collaboration of deepmind health with moorfields eye hospital
    (IE University, 2020-12-28) Ahmad, Saif; https://ror.org/02jjdwm75
    In 2016, DeepMind Health began a collaboration with Moorfields Eye Hospital to assess whether deep learning techniques could be used to interpret optical coherence tomography scans (OCT) to help triage and diagnose the health of the retina in patients with visual problems. A landmark research paper was published in 2018 demonstrating that the deep learning method produces results comparable to those of experts in the field, and that this was generalizable across imaging devices. Importantly, DeepMind Health are focused on making it possible for clinicians to understand how the algorithm arrived at its conclusion [1]. DeepMind Health have also been mindful to promote a positive perception amongst clinicians and the wider public. How they have attempted to do this, and its effectiveness is the focus of this case study.
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    Innovation, Sustainability and the Future of Healthcare : How is artificial intelligence reshaping healthcare in Europe? - Executive Report
    (IE Center for the Governance of Change, 2020-07-15) Crispin, Mireia; Gallego, Marcos; Ellena, Javier; Gerhold, Malte; Lezaun, Javier; Unda, Arantxa; Ahmad, Saif; Berman, Adam; Cirkovic, Stevan; Goldsworthy, Christopher; Halai, Dina; Jeffrey, Genevieve; Law, Samantha; Machado, Diogo; O'Carrigan, Brent; Pesapane, Filippo; Sissons, Amanda; https://ror.org/02jjdwm75
    The studies included in this report show that the integration of Artificial Intelligence (AI) technologies in the European healthcare setting presents a series of unique challenges that will require large, collaborative and transparent efforts crossing boundaries of profession and geography. 
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    Skills and expertise gaps for AI-based medicine
    (IE University, 2020-12-28) O'Carrigan, Brent; Ahmad, Saif; https://ror.org/02jjdwm75
    AI-based MedTech innovations are rapidly developing in a significant number of European countries, and they are likely to pervade the healthcare system soon. However, while it can be confidently assumed that technological advances in AI technology will continue, how readily and efficiently these advances can be assimilated into the clinic is less clear. To maximize the benefits of these technologies, the healthcare ecosystem, and in particular, its workforce, must be prepared. We have reviewed the skills and expertise required by doctors, nurses and allied healthcare professionals across Europe. We have found that a whole range of digital and AI skills will be required, from basic use and security awareness for everyone to high-level development skills for design, validation and maintenance. This gap is likely to be compounded by additional factors such as the predicted need for thousands of more data scientists in the very near future, a lack of trust from the medical staff, insufficient user knowledge, and poor access to modern and efficient IT technology. In addition, preliminary evidence shows that current medical students might be less likely to choose specialties that are more likely to be affected by AI developments due to concerns around job security, therefore risking shortto mid-term recruitment of clinicians to fields with greater application of AI. Among the solutions proposed to overcome this challenge, cross-disciplinarity and collaboration play a key role. For healthcare professionals, this may involve introducing new combined medical degrees including computer science aspects, as it is already being done in countries such as the Netherlands. For data scientists, it may require developing attractive career pathways within healthcare-focused alliances spanning healthcare institutions, academia and industry.