AI in Healthcare - Opportunities and Challenges (Ongoing)

Posted On 2020-05-13 05:46:47



This series on AI in Healthcare - Opportunities and Challenges is edited by Dr. Sandeep Reddy, MBBS, PhD, MSc, FAcadmTM, CHIA, from Deakin University, Australia; Dr. Jenifer Sunrise Winter, BA, MLIS, PhD, from University of Hawaii at Manoa, USA; and Dr. Sandosh Padmanabhan, MD, PhD, from University of Glasgow, UK.

Sandeep Reddy, MBBS, PhD, MSc, FAcadmTM, CHIA
Deakin University, Australia

Sandeep is an Artificial Intelligence (AI) in Healthcare researcher based at the Deakin School of Medicine besides functions as a certified health informatician, and a World Health Organisation recognised digital health expert. He has a medical and healthcare management background and has completed machine learning/ health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare in addition to sitting on various international committees focusing on AI in Healthcare.

Jenifer Sunrise Winter, BA, MLIS, PhD
University of Hawaii at Manoa, USA

Prof. Winter’s research and teaching focus on the intersection of information and communication technologies (ICTs) and communication policy/ethics. She worked for several years at a listener-programmed radio station (Radio Free Hawaiʻi) that sought to “revolutionize the airwaves” and return them to the people, rather than commercial interests. Later, at the Center of Excellence in Disaster Management and Humanitarian Assistance, she used ICTs to advance disaster management and peacekeeping efforts in the Pacific. These experiences led her to focus on citizen empowerment and reducing the potential discriminatory impacts of information technology systems, while maximizing their benefit for the public good.

Her research addresses communication rights and ethics associated with the global expansion of the Internet (including big data and artificial intelligence). Related streams illuminate how big data analytics can expose private information creating unjust power differentials; examine the underlying norms and values related to personally identifiable information (PII) gathered from the emerging array of ubiquitous embedded information technologies in different contexts and how these data are governed (e.g., privacy and security); explore the future of Internet governance; and inform design and governance of social media platforms to foster democratic discourse and constructive political action.

Sandosh Padmanabhan, MD, PhD
University of Glasgow, UK

Prof Sandosh Padmanabhan completed his MBBS and MD at JIPMER, Pondicherry, India and was awarded the Gold Medal for MD General Medicine in 1995. His PhD (1999-2003) on G-protein signalling in hypertension was awarded the Bellahouston Medal by the University of Glasgow in 2004. He received the Austin Doyle Award from the International Society of Hypertension in 2004. His pharmacogenetic genomewide linkage study led to a BHF Intermediate Fellowship (2006-2009). He was the lead on a genome wide association analysis of Hypertension between 2008 and 2010 resulting in the discovery of a new gene and pathway for hypertension. He was a visiting fellow to the Broad Institute of Harvard and MIT (2010-2012). He is a Fellow of the Royal College of Physicians, the British Hypertension Society and the American Heart Association.

His research combines epidemiology and randomised clinical trials incorporating high-throughput genomics and metabolomics in the dissection of cardiovascular traits and drug response. As a principal investigator in the MRC Stratified Medicine consortium on Hypertension (AIM HY), he leads the work strand that aims to discover ancestry and metabolomic markers of antihypertensive drug response in large randomised clinical trials. He co-leads the research on the functional dissection and translation of our GWAS discovered hypertension gene, uromodulin, and this involves salt interventional studies, a range of omics studies and a genotype directed clinical trial. He is a member of Generation Scotland executive, section editor of Physiological Genomics and Cardiovascular Risk Reports, the editorial board of Hypertension and Journal of Hypertension, the meetings committee of the British Pharmacologic Society, the research committee of the Wellcome Trust/Public Health Foundation of India. He chairs the educational committee of British Hypertension Society.

Series outline:

  1. AI and healthcare - why they need each other?
  2. Chronic disease burden - how AI can address it?
  3. Diabetes - how can AI address it?
  4. Precision medicine delivered through AI
  5. Healthcare workforce - support from AI
  6. AI in healthcare - challenges with safety and quality
  7. Use of AI in healthcare delivery - India
  8. Use of AI in healthcare delivery - USA
  9. Imaging - musculoskeletal system - role for AI
  10. Role for AI in respiratory diseases - COPD
  11. AI in healthcare: data governance challenges
  12. AI healthcare data-driven personalization and services
  13. AI in healthcare: legal and ethical dimensions
  14. AI in healthcare to manage high-risk patients
  15. AI and machine learning in transational bioinformatics
  16. AI and population health disparities

Disclosure:
The series “AI in Healthcare - Opportunities and Challenges” was commissioned by the editorial office, Journal of Hospital Management and Health Policy without any sponsorship or funding. Sandeep Reddy, Jenifer Sunrise Winter, Sandosh Padmanabhan are serving as the unpaid Guest Editors for the series.