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Trishan Panch, M.P.H.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Sounderajah V, Ashrafian H, Golub RM, Shetty S, De Fauw J, Hooft L, Moons K, Collins G, Moher D, Bossuyt PM, Darzi A, Karthikesalingam A, Denniston AK, Mateen BA, Ting D, Treanor D, King D, Greaves F, Godwin J, Pearson-Stuttard J, Harling L, McInnes M, Rifai N, Tomasev N, Normahani P, Whiting P, Aggarwal R, Vollmer S, Markar SR, Panch T, Liu X. Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol. BMJ Open. 2021 06 28; 11(6):e047709. PMID: 34183345.
    Citations:    Fields:    Translation:Humans
  2. Lindemer E, Jouni M, Nikolaev N, Reidy P, Mattie H, Rogers JK, Giangreco L, Sherman M, Bartels M, Panch T. A pragmatic methodology for the evaluation of digital care management in the context of multimorbidity. J Med Econ. 2021 Jan-Dec; 24(1):373-385. PMID: 33588669.
    Citations:    Fields:    Translation:Humans
  3. Futoma J, Simons M, Panch T, Doshi-Velez F, Celi LA. The myth of generalisability in clinical research and machine learning in health care. Lancet Digit Health. 2020 09; 2(9):e489-e492. PMID: 32864600.
    Citations: 16     Translation:Humans
  4. Panch T, Pollard TJ, Mattie H, Lindemer E, Keane PA, Celi LA. "Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. NPJ Digit Med. 2020; 3:87. PMID: 32577534.
    Citations: 2     
  5. Sounderajah V, Ashrafian H, Aggarwal R, De Fauw J, Denniston AK, Greaves F, Karthikesalingam A, King D, Liu X, Markar SR, McInnes MDF, Panch T, Pearson-Stuttard J, Ting DSW, Golub RM, Moher D, Bossuyt PM, Darzi A. Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group. Nat Med. 2020 06; 26(6):807-808. PMID: 32514173.
    Citations: 27     Fields:    Translation:Humans
  6. Carrillo-Larco RM, Tudor Car L, Pearson-Stuttard J, Panch T, Miranda JJ, Atun R. Machine learning health-related applications in low-income and middle-income countries: a scoping review protocol. BMJ Open. 2020 05 10; 10(5):e035983. PMID: 32393612.
    Citations:    Fields:    Translation:Humans
  7. Panch T, Mattie H, Atun R. Artificial intelligence and algorithmic bias: implications for health systems. J Glob Health. 2019 12; 9(2):010318. PMID: 31788229.
    Citations: 15     Fields:    Translation:Humans
  8. Mattie H, Reidy P, Bachtiger P, Lindemer E, Nikolaev N, Jouni M, Schaefer J, Sherman M, Panch T. A Framework for Predicting Impactability of Digital Care Management Using Machine Learning Methods. Popul Health Manag. 2020 08; 23(4):319-325. PMID: 31765282.
    Citations: 1     Fields:    Translation:Humans
  9. Pollard TJ, Chen I, Wiens J, Horng S, Wong D, Ghassemi M, Mattie H, Lindemer E, Panch T. Turning the crank for machine learning: ease, at what expense? Lancet Digit Health. 2019 09; 1(5):e198-e199. PMID: 33323266.
    Citations: 1     Translation:Humans
  10. Panch T, Mattie H, Celi LA. The "inconvenient truth" about AI in healthcare. NPJ Digit Med. 2019; 2:77. PMID: 31453372.
    Citations: 34     
  11. Panch T, Pearson-Stuttard J, Greaves F, Atun R. Artificial intelligence: opportunities and risks for public health. Lancet Digit Health. 2019 05; 1(1):e13-e14. PMID: 33323236.
    Citations: 6     Translation:HumansPHPublic Health
  12. Panchmatia JR, Visenio MR, Panch T. The role of artificial intelligence in orthopaedic surgery. Br J Hosp Med (Lond). 2018 Dec 02; 79(12):676-681. PMID: 30526106.
    Citations: 2     Fields:    Translation:Humans
  13. Panch T, Szolovits P, Atun R. Artificial intelligence, machine learning and health systems. J Glob Health. 2018 Dec; 8(2):020303. PMID: 30405904.
    Citations: 23     Fields:    Translation:Humans
  14. Mueller NE, Panch T, Macias C, Cohen BM, Ongur D, Baker JT. Using Smartphone Apps to Promote Psychiatric Rehabilitation in a Peer-Led Community Support Program: Pilot Study. JMIR Ment Health. 2018 Aug 15; 5(3):e10092. PMID: 30111526.
    Citations: 6     
  15. Panch T, Goodman E. Technology, seniors, and sense making. Am J Manag Care. 2016 May; 22(7 Spec No.):SP250-SP251. PMID: 29381037.
    Citations:    Fields:    
  16. Macias C, Panch T, Hicks YM, Scolnick JS, Weene DL, Öngür D, Cohen BM. Using Smartphone Apps to Promote Psychiatric and Physical Well-Being. Psychiatr Q. 2015 Dec; 86(4):505-19. PMID: 25636496.
    Citations: 24     Fields:    Translation:Humans
  17. Macias C, Gold PB, Öngür D, Cohen BM, Panch T. Are Single-Item Global Ratings Useful for Assessing Health Status? J Clin Psychol Med Settings. 2015 Oct 22. PMID: 26492891.
    Citations: 16     Fields:    
  18. Forman DE, LaFond K, Panch T, Allsup K, Manning K, Sattelmair J. Utility and efficacy of a smartphone application to enhance the learning and behavior goals of traditional cardiac rehabilitation: a feasibility study. J Cardiopulm Rehabil Prev. 2014 Sep-Oct; 34(5):327-34. PMID: 24866355.
    Citations: 23     Fields:    Translation:Humans
  19. Dunbar-Rees R, Panch T, Dancy M. From volume to value? Can a value-based approach help deliver the ambitious aims of the NHS cardiovascular disease outcomes strategy? Heart. 2014 Jun; 100(11):827-32. PMID: 24619245.
    Citations: 1     Fields:    Translation:Humans
  20. Celi LA, Mark RG, Lee J, Scott DJ, Panch T. Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System. J Comput Sci Eng. 2012 Mar 01; 6(1):51-59. PMID: 23766887.
    Citations: 4     
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.