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Overview

Overview of Workshop

Globally innovation in artificial intelligence (AI) will reshape healthcare systems. However, like all innovation not all technologies will realize the value that innovators claim, nor the efficiencies imagined.  Many, will not be implementable across or within our internationally diverse healthcare systems. To support innovation, the UK has established the Accelerated Access Collaborative; to identify and accelerate those innovations which have the potential to be of real value to the UK NHS.

Within India, AI-enabled healthcare, like the automated analysis of medical tests, diagnosis prediction, automation of healthcare diagnosis, and wearable sensor-based medical devices, are expected to revolutionize treatment. Government initiatives, such as The Information Technology Act, 2000 and the National e Health Authority, aim to improve the access, and implementation of AI. The use and applications of AI solutions has the potential to help improve access to, and delivery of health care across the country. This is vital as India has one of the lowest patient-doctor ratios in the world (1700:1). Whilst 70% of the country’s population live in rural areas, 70% of the healthcare infrastructure is in cities (70-70 paradox).

Most AI applications in development are driven by innovators, most often engineers, often focused on what is technically feasible; not what is practical or needed.  There a need to close this gap. Further, AI innovations need robust evaluation to Globally innovation in artificial intelligence (AI) will reshape healthcare systems. However, like all innovation not all technologies will realize the value that innovators claim, nor the efficiencies imagined.  Many, will not be implementable across or within our internationally diverse healthcare systems. To support innovation, the UK has established the Accelerated Access Collaborative; to identify and accelerate those innovations which have the potential to be of real value to the UK NHS.

Within India, AI-enabled healthcare, like the automated analysis of medical tests, diagnosis prediction, automation of healthcare diagnosis, and wearable sensor-based medical devices, are expected to revolutionize treatment. Government initiatives, such as The Information Technology Act, 2000 and the National e Health Authority, aim to improve the access, and implementation of AI. The use and applications of AI solutions has the potential to help improve access to, and delivery of health care across the country. This is vital as India has one of the lowest patient-doctor ratios in the world (1700:1). Whilst 70% of the country’s population live in rural areas, 70% of the healthcare infrastructure is in cities (70-70 paradox).

Most AI applications in development are driven by innovators, most often engineers, often focused on what is technically feasible; not what is practical or needed.  There a need to close this gap. Further, AI innovations need robust evaluation to ensure that implementation is supported by sufficient effectiveness evidence and via the regulatory systems/government bodies. Enabling this innovation pathway will support the widespread, appropriate, adoption of AI, such as machine learning, digital interventions and data science tools in clinical and public health that serve the public and relieve the burden on health-care systems.

Benefits: This workshop will enable early career researchers to acquire the knowledge and skills needed to understand applications of AI and ML in clinical and public health. It will enable researchers to establish networks within academia, industry, and government; vital if successful collaborative research studies in AI and ML that address real clinical and public health needs and can make real differences in reducing the inequalities in health those less well off in society face are to be developed.

Eligibility

Eligibility Criteria

  • Applications must be submitted using the Researcher Links application form
  • Application must be submitted before the above deadline
  • Participants must be Early Career Researchers: Early Career Researchers are defined as holding a Ph. D. (or having equivalent research experience – research experience for 3 to 10 years) and having up to 10 years Post-Ph. D. research experience. They are equivalent to the ‘Recognized Researcher’ and sometimes ‘Experienced Researcher’ categories in the EU framework for researchers’ careers. Research Profiles Descriptors.
  • Participants must have a research or academic position (a permanent post, research contract, or fellowship etc) at a recognized research institution either in the UK or in India
  • Please note that participants are expected to attend all sessions of the workshop.
Academic Schedule

 

Day 1 – January 14, 2022
Timing Topic India Faculty UK Faculty
9.30 – 11.00 Artificial Intelligence and Machine Learning: Big picture Lead Contributor
Presentation on AI/ML field and initial reflections in health applications Lead Contributor
11.30 – 12.30 Strategies to enhance data integration ton advance AI/ML Lead Contributor
Role of data integration and sharing in enhancing AI & ML algorithms to improve health and healthcare Lead Contributor
1.30 – 3.00 AI/ML opportunities in health and healthcare Lead Contributor
Areas where AI/ML has the potential to improve in health and healthcare Lead Contributor
3.30 – 5:00 Addressing challenges of AI/ML implementation & integration Lead Contributor
Focus on integration and intrinsic reliability challenges; human upskilling Lead Contributor
Day 2 – January 15, 2022
Timing Topic India Faculty UK Faculty
9.30 – 11.00 Technical validation studies of AI/ML in clinical practice and public health Lead Contributor
Algorithm robustness, reproducibility, generalizability Lead Contributor
11.30 – 12.30 Integrating AI/ML in clinical guidelines and public health care pathways Co-Lead Co-Lead
1.30 – 3.00 Case studies from UK and India UK-Lead India- Lead (Dr. Santosh)
3.30 – 5:00 Participant presentations on case studies of AI/ML applications in health and healthcare in UK and India Co-Lead Co-Lead
Day 3 – January 16, 2022
Timing Topic India Faculty UK Faculty
9.30 – 11.00 Transferability of standard clinical and public health evaluations to AI/ML applications in health and healthcare Contributor Lead
11.30 – 12.30 RCTs and Observational studies of AI/ML in health and healthcare Lead Lead
Use of experimental and non-experimental studies in AI/ML evaluations Lead Lead
1.30 – 3.00 Health Technology Assessments of AI/ML Lead Lead
3.30 – 5:00 Building field evidence of AI & ML in health and healthcare Lead Lead
– Impact Assessments/Evaluations of AI/ML Lead Lead
Day 4 – January 17, 2022
Timing Topic India Faculty UK Faculty
9.30 – 11.00 Ethical development & use of AI/ML in health and healthcare Co-Lead Co-Lead
11.30 – 12.30 Ethical data sharing mechanisms Co-Lead Co-Lead
1.30 – 3.00 Regulatory aspects for AI/ML in health and healthcare Co-Lead Co-Lead
3.30 – 5:00 Improving clinician acceptance and workforce expertise on use of AI/ML in health and healthcare Co-Lead Co-Lead
Day 5 – January 18, 2022
Timing Topic India Faculty UK Faculty
9.30 – 11.00 Group exercise: Developing a business case of AI/ML in hospital or public health setting India UK
11.30 – 12.30 Group exercise: Developing a business case of AI/ML in hospital or public health setting India UK
1.30 – 3.00 Presentations from groups India UK
3.30 – 5:00 Feedback, Group photo, certificates India UK
Organizing Committee

 

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Sponsors

 

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Register – Early Career Researchers Application

Indian

    Application:
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    Brief CV
    (Academic Career, Publications, Markers of Esteem, and Any Other Relevant Information) – No more than ½ page of A4) (Allowed File type: .pdf; Maximum File Size: 500 KB)

     
    Abstract:
    Please Give a Summary of Your Area of Research *

     
    Please describe your mtivation for attending the workshop and how the workshop matches your professional development needs *

     
    Please describe the expected impact of your participation on your personal and professional development, including your ability to work internationally *

     
    Please indicate how you will disseminate the outcomes of the workshops and the new knowledge/skills you have acquired *

     
    Workshops will take place in English as standard. Please indicate your ability to work and communicate in English (Note, translators may be provided if necessary) *

     
    Please use this space to give any additional information that you feel is relevant for the application. *


     

    International

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      Workshop Highlights

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      The workshop will have a hybrid format involving both virtual and face to face sessions. We are looking to work with 20 early career researchers (ECRs) who will take part in this five day workshop program, which will take place between January 14 – 18, 2022. The researchers from India will be joined by 10 ECRs from the UK who will participate online. All participants will be mentored by experts from Amrita Institute of Medical Sciences & Research Center.

      The smaller number of ECR participants from the UK has been deliberately chose to allow better online interactions and appropriate levels of mentoring. Our aim is to conduct the workshop so that there is the opportunity for all ECRs from India and the UK to discuss and share learning.

      The workshop is comprised of a series of sessions each of which covers key concepts and issues. Each session will be led by an Expert from both India and the UK who will actively work to encourage full participation from all attendees.

      Following the workshop, the UK and Indian participants will be asked to work in groups to complete a literature review on a theme with a view to identify gaps and opportunities that a future research proposal could address. To facilitate this, all the UK and India early career researchers will be supported with seed grants.

      To support ongoing engagement and continued partnership, all workshop materials will be made available from this website.

      Contact

      Amrita School of Medicine
      Amrita Vishwa Vidyapeetham,
      AIMS Health Sciences Campus,
      AIMS Ponekkara P. O.
      Kochi, Kerala – 682 041
      India

      Email: newtonbhabhaaiworkshop@gmail.com

       

       

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