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:MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle
Authors:McKay MJWeber KAWesselink EOSmith ZAAbbott RAnderson DBAshton-James CEAtyeo JBeach AJBurns JClarke SCollins NJCoppieters MWCornwall JCrawford RJDe Martino EDunn AGEyles JPFeng HJFortin MFranettovich Smith MMGalloway GGandomkar ZGlastras SHenderson LAHides JAHiller CEHilmer SNHoggarth MAKim BLal NLaPorta LMagnussen JSMaloney SMarch LNackley AGO'Leary SPPeolsson APerraton ZPool-Goudzwaard ALSchnitzler MSeitz ALSemciw AISheard PWSmith ACSnodgrass SJSullivan JTran VValentin SWalton DMWishart LRElliott JM
Link:https://pubmed.ncbi.nlm.nih.gov/39590726/
DOI:10.3390/jimaging10110262
Publication:Journal of imaging
Keywords:MR imagingartificial intelligencemachine learningmuscle fat infiltrationneural networksnormative reference datapublic datasets
PMID:39590726 Category: Date Added:2024-11-26
Dept Affiliation: HKAP
1 Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
2 Division of Pain Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA 94304, USA.
3 Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences-Program Musculoskeletal Health, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands.
4 Department of Rehabilitation Medicine, University of Oklahoma, Norman, OK 73019, USA.
5 Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN 55455, USA.
6 Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW 2109, Australia.
7 Disability Prevention Program, Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
8 School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072 QLD, Australia.
9 School of Health Sciences and Social Work, Griffith University, Brisbane, QLD 4111, Australia.
10 Otago Medical School, University of Otago, Dunedin 9016, New Zealand.
11 Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
12 Department of Health Science and Technology, Aalborg University, Gistrup, 9260 North Jutland, Denmark.
13 Northern Sydney Local Health District, The Kolling Institute, St Leonards, NSW 2065, Australia.
14 Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, QC H4B 1R6, Canada.
15 Herston Imaging Research Facility, University of Queensland, Brisbane, QLD 4072, Australia.
16 Department of Physical Therapy, North Central College, Naperville, IL 60540, USA.
17 School of Rehabilitative and Health Sciences, Regis University, Denver, CO 80221, USA.
18 Center for Translational Pain Medicine, Department of Anesthesiology, School of Medicine, Duke University, Durham, NC 27710, USA.
19 Occupational and Environmental Medicine Centre, Department of Health Medicine and Caring Sciences, Unit of Clinical Medicine, Linköping University, 58183 Linköping, Sweden.
20 Department of Health Medicine and Caring Sciences, Unit of Physiotherapy, Linköping University, 58183 Linköping, Sweden.
21 School of Allied Health, La Trobe University, Melbourne, VIC 3086, Australia.
22 Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
23 School of Medicine, University of Colorado, Aurora, CO 80045, USA.
24 Discipline of Physiotherapy, University of Newcastle, Callaghan, NSW 2308, Australia.
25 Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia.
26 School of Health & Social Care, Edinburgh Napier University, Edinburgh, Scotland EH11 4BN, UK.
27 School of Physical Therapy, Western University, London, ON N6A 3K7, Canada.
28 School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4111, Australia.

Description:

Disorders affecting the neurological and musculoskeletal systems represent international health priorities. A significant impediment to progress in trials of new therapies is the absence of responsive, objective, and valid outcome measures sensitive to early disease changes. A key finding in individuals with neuromuscular and musculoskeletal disorders is the compositional changes to muscles, evinced by the expression of fatty infiltrates. Quantification of skeletal muscle composition by MRI has emerged as a sensitive marker for the severity of these disorders; however, little is known about the composition of healthy muscles across the lifespan. Knowledge of what is 'typical' age-related muscle composition is essential to accurately identify and evaluate what is 'atypical'. This innovative project, known as the MuscleMap, will achieve the first important steps towards establishing a world-first, normative reference MRI dataset of skeletal muscle composition with the potential to provide valuable insights into various diseases and disorders, ultimately improving patient care and advancing research in the field.





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