Keyword search (4,163 papers available)

"artificial intelligence" Keyword-tagged Publications:

Title Authors PubMed ID
1 Editorial: Data-driven vaccine design for microbial-associated diseases Selvaraj G; Kaliamurthi S; Wei D; 41624882
CHEMBIOCHEM
2 Divergent creativity in humans and large language models Bellemare-Pepin A; Lespinasse F; Thölke P; Harel Y; Mathewson K; Olson JA; Bengio Y; Jerbi K; 41565675
PSYCHOLOGY
3 Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems Yaghoobian S; An J; Jeong DW; Hwang JH; 41483514
ENCS
4 Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; 41071096
ENCS
5 Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics Abicumaran Uthamacumaran 40848317
PSYCHOLOGY
6 Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review Md Shike Bin Mazid Anik 40692624
ENCS
7 Comprehensive review of reinforcement learning for medical ultrasound imaging Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; 40567264
ENCS
8 Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; 40428106
ENCS
9 Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; 40336660
ENCS
10 Advanced Robotics for the Next-Generation of Cardiac Interventions Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; 40283240
ENCS
11 The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites Lapointe VA; Dubé S; Rukhlyadyev S; Kessai T; Lafortune D; 40032709
PSYCHOLOGY
12 MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; 39590726
HKAP
13 Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks Abicumaran Uthamacumaran 39420135
PSYCHOLOGY
14 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
15 Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; 39052314
ENCS
16 LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; 39009730
ENCS
17 Who Should Decide How Machines Make Morally Laden Decisions? Dominic Martin 27905083
JMSB
18 The State of Artificial Intelligence in Skin Cancer Publications Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P; 38323537
ENCS
19 Performance of ChatGPT on a Practice Dermatology Board Certification Examination Joly-Chevrier M; Nguyen AX; Lesko-Krleza M; Lefrançois P; 37489920
ENCS
20 Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics Abicumaran Uthamacumaran 35678918
PHYSICS
21 The Algorithms of Mindfulness Johannes Bruder 35103028
CONCORDIA
22 Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis Bouzo V; Plourde H; Beckenstein H; Cohen TR; 34582258
PERFORM
23 Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; 33181361
CONCORDIA

 

Title:Recommendations on the use of artificial intelligence in health promotion
Authors:Smith AArena RBacon SLFaghy MAGrazzi GRaisi AVermeesch ALOng'wen MPopovic DPronk NP
Link:https://pubmed.ncbi.nlm.nih.gov/39389332/
DOI:10.1016/j.pcad.2024.10.003
Publication:Progress in cardiovascular diseases
Keywords:AI scenariosArtificial 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.





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