BookR: School of Health Core Facilities Booking
PubMed Publications| Keyword search (4,163 papers available) |  |
"AI scenarios" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Recommendations on the use of artificial intelligence in health promotion | Smith A; Arena R; Bacon SL; Faghy MA; Grazzi G; Raisi A; Vermeesch AL; Ong' wen M; Popovic D; Pronk NP; | 39389332 HKAP |
| Title: | Recommendations on the use of artificial intelligence in health promotion | ||||
| Authors: | Smith A, Arena R, Bacon SL, Faghy MA, Grazzi G, Raisi A, Vermeesch AL, Ong', wen M, Popovic D, Pronk NP | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39389332/ | ||||
| DOI: | 10.1016/j.pcad.2024.10.003 | ||||
| Publication: | Progress in cardiovascular diseases | ||||
| Keywords: | AI scenarios; Artificial intelligence and health; | ||||
| PMID: | 39389332 | Category: | Date Added: | 2024-10-11 | |
| Dept Affiliation: |
HKAP
1 Independent Sport and Exercise Scientist, United Kingdom; Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA. 2 Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA). Department of Physical Therapy, University of Illinois at Chicago, Chicago, USA. 3 Department of Health, Kinesiology, and Applied Physiology, Concordia University, Montreal, Canada; Montreal Behavioural Medicine Centre, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal (CIUSSS-NIM), Montreal, Canada. 4 Biomedical and Clinical Exercise Science Research Centre, University of Derby, HL-Pivot Network Member.Otieno Martin Ong'wen OMT NPT (Afyafrica Orthopedic Services), Derby, UK. Electronic address: M.Faghy@derby.ac.uk. 5 Center for Exercise Science and Sport, Department of Neuroscience and Rehabilitation, University of Ferrara, Italy; Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA; Public Health Department, AUSL, Ferrara, Italy. 6 Program in Environmental Sustainability and Wellbeing, Department of Humanities, University of Ferrara, Ferrara, Italy. 7 Advanced Nursing Education Department, University of North Carolina Greensboro School of Nursing, HL-PIVOT Network Member, Greensboro, NC, USA. 8 Afyafrica Orthopedic Services, Kenya. 9 Department of Cardiology, University Clinical Center of Serbia, Belgrade, Serbia; Mayo Clinic, Rochester, MN, USA; Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia. 10 HealthPartners Institute, Minneapolis, MN, USA; University of Minnesota, Dept. of Health Policy and Management, Minneapolis, MN, USA. |
||||
Description: |
The purpose of this perspective is to provide recommendations on the use of Artificial Intelligence (AI) in health promotion. To arrive at these recommendations, we followed a 6-step process. The first step was to recruit an international authorship team from the Healthy Living for Pandemic Event Protection (HL- PIVOT) network. This enabled us to achieve an international perspective with insights from Canada, Great Britain, Kenya, Italy, and the US. A philosophical inquiry was conducted addressing 5 questions. What should the relationship be between humans and AI in health promotion? How can the public and professionals trust AI? How can we ensure AI is aligned with our values? How can we ensure the ethical use of data by AI? How can we control AI? 4 hypothetical scenarios were also developed to provide perspectives on: i) Artificial 'Versus' Human Intelligence; ii) AI Empowerment in Self-Care; iii) Could AI Improve Patient Provider Relationship; and iii) The Kenyan Cancer Patient at the Height of a Pandemic. Based on the philosophical inquiry and the scenarios 11 recommendations are made by the HL-PIVOT on the use of AI in health promotion. The golden thread running through these recommendations is a human centric approach. The recommendations begin by suggesting that workforce planning should take account of AI. They conclude with the statement that any serious incidents involving an AI in Health Promotion should be reported to the relevant regulatory authority. |
