Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1799 2
1885 1
1886 1
1887 2
1896 1
1899 2
1900 2
1901 1
1902 1
1904 2
1907 1
1908 1
1912 1
1919 1
1941 1
1947 3
1948 9
1949 5
1950 7
1951 1
1952 2
1953 2
1954 1
1955 4
1956 3
1957 6
1958 4
1959 2
1962 1
1965 1
1966 3
1967 3
1968 1
1969 4
1970 8
1971 7
1972 8
1973 6
1974 3
1975 6
1976 5
1977 8
1978 13
1979 8
1980 8
1981 9
1982 8
1983 13
1984 7
1985 13
1986 15
1987 15
1988 12
1989 12
1990 16
1991 10
1992 12
1993 14
1994 12
1995 19
1996 23
1997 16
1998 19
1999 30
2000 33
2001 34
2002 30
2003 25
2004 29
2005 27
2006 36
2007 41
2008 40
2009 36
2010 28
2011 40
2012 46
2013 42
2014 39
2015 35
2016 43
2017 42
2018 42
2019 41
2020 51
2021 48
2022 50
2023 56
2024 37

Text availability

Article attribute

Article type

Publication date

Search Results

1,292 results

Results by year

Filters applied: . Clear all
Page 1
What to do with an incidental finding of a fused sagittal suture: a modified Delphi study.
Chiang SN, Reckford J, Alexander AL, Birgfeld CB, Bonfield CM, Couture DE, David LR, French B, Gociman B, Goldstein JA, Golinko MS, Kestle JRW, Lee A, Magge SN, Pollack IF, Rottgers SA, Runyan CM, Smyth MD, Wilkinson CC, Skolnick GB, Strahle JM, Patel KB. Chiang SN, et al. Among authors: wilkinson cc. J Neurosurg Pediatr. 2024 May 10:1-8. doi: 10.3171/2024.2.PEDS23521. Online ahead of print. J Neurosurg Pediatr. 2024. PMID: 38728754
Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning.
Ali H, Inayat F, Dhillon R, Patel P, Afzal A, Wilkinson C, Rehman AU, Anwar MS, Nawaz G, Chaudhry A, Awan JR, Afzal MS, Samanta J, Adler DG, Mohan BP. Ali H, et al. Among authors: wilkinson c. Proc (Bayl Univ Med Cent). 2024 Mar 21;37(3):437-447. doi: 10.1080/08998280.2024.2326371. eCollection 2024. Proc (Bayl Univ Med Cent). 2024. PMID: 38628340 Free PMC article.
1,292 results