Showing 1,101 - 1,120 results of 1,274 for search '"Harvard"', query time: 0.05s Refine Results
  1. 1101
  2. 1102
  3. 1103
  4. 1104
  5. 1105
  6. 1106
  7. 1107
  8. 1108
  9. 1109
  10. 1110
  11. 1111
  12. 1112
  13. 1113
  14. 1114
  15. 1115
  16. 1116
  17. 1117
  18. 1118

    Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers by Tanisha Mishra, Edward Sutanto, Rini Rossanti, Nayana Pant, Anum Ashraf, Akshay Raut, Germaine Uwabareze, Ajayi Oluwatomiwa, Bushra Zeeshan

    Published 2024-12-01
    “…Using a cross-sectional design, we surveyed 226 medical and paramedical researchers from 59 countries across 65 specialties, trained in the Global Clinical Scholars’ Research Training certificate program of Harvard Medical School between 2020 and 2024. Majority (57.5%) of these participants practiced in an academic setting with a median of 7 (2,18) PubMed Indexed published articles. 198 respondents (87.6%) were aware of LLMs and those who were aware had higher number of publications (p < 0.001). 18.7% of the respondents who were aware (n = 37) had previously used LLMs in publications especially for grammatical errors and formatting (64.9%); however, most (40.5%) did not acknowledge its use in their papers. 50.8% of aware respondents (n = 95) predicted an overall positive future impact of LLMs while 32.6% were unsure of its scope. 52% of aware respondents (n = 102) believed that LLMs would have a major impact in areas such as grammatical errors and formatting (66.3%), revision and editing (57.2%), writing (57.2%) and literature review (54.2%). 58.1% of aware respondents were opined that journals should allow for use of AI in research and 78.3% believed that regulations should be put in place to avoid its abuse. …”
    Get full text
    Article
  19. 1119
  20. 1120