BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

113 related articles for article (PubMed ID: 38478040)

  • 1. A survey of patient acceptability of the use of artificial intelligence in the diagnosis of paediatric fractures: an observational study.
    Roberts F; Roberts T; Gelfer Y; Hing C
    Ann R Coll Surg Engl; 2024 Mar; ():. PubMed ID: 38478040
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial intelligence in paediatric radiology: international survey of health care professionals' opinions.
    Shelmerdine SC; Rosendahl K; Arthurs OJ
    Pediatr Radiol; 2022 Jan; 52(1):30-41. PubMed ID: 34642789
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.
    York T; Jenney H; Jones G
    BMJ Health Care Inform; 2020 Nov; 27(3):. PubMed ID: 33187956
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Attitudes of optometrists towards artificial intelligence for the diagnosis of retinal disease: A cross-sectional mail-out survey.
    Ho S; Doig GS; Ly A
    Ophthalmic Physiol Opt; 2022 Nov; 42(6):1170-1179. PubMed ID: 35924658
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing an efficient scheduling template of a chemotherapy treatment unit: A case study.
    Ahmed Z; Elmekkawy T; Bates S
    Australas Med J; 2011; 4(10):575-88. PubMed ID: 23386870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diverse patients' attitudes towards Artificial Intelligence (AI) in diagnosis.
    Robertson C; Woods A; Bergstrand K; Findley J; Balser C; Slepian MJ
    PLOS Digit Health; 2023 May; 2(5):e0000237. PubMed ID: 37205713
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.
    Chi EA; Chi G; Tsui CT; Jiang Y; Jarr K; Kulkarni CV; Zhang M; Long J; Ng AY; Rajpurkar P; Sinha SR
    JAMA Netw Open; 2021 Jul; 4(7):e2117391. PubMed ID: 34297075
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.
    Cha Y; Kim JT; Park CH; Kim JW; Lee SY; Yoo JI
    J Orthop Surg Res; 2022 Dec; 17(1):520. PubMed ID: 36456982
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fathers and the well-child visit.
    Garfield CF; Isacco A
    Pediatrics; 2006 Apr; 117(4):e637-45. PubMed ID: 16585280
    [TBL] [Abstract][Full Text] [Related]  

  • 10. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.
    Langerhuizen DWG; Janssen SJ; Mallee WH; van den Bekerom MPJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
    Clin Orthop Relat Res; 2019 Nov; 477(11):2482-2491. PubMed ID: 31283727
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey.
    Sur J; Bose S; Khan F; Dewangan D; Sawriya E; Roul A
    Imaging Sci Dent; 2020 Sep; 50(3):193-198. PubMed ID: 33005576
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Parental perceptions of avoidability of their child's emergency department visit.
    Singhal A; Caplan DJ; Jones MP; Kuthy RA; Momany ET; Buresh CT; Damiano PC
    Emerg Med J; 2016 May; 33(5):313-8. PubMed ID: 26249669
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.
    Chen Y; Wu Z; Wang P; Xie L; Yan M; Jiang M; Yang Z; Zheng J; Zhang J; Zhu J
    J Med Internet Res; 2023 Oct; 25():e48249. PubMed ID: 37856181
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.
    Amann J; Vayena E; Ormond KE; Frey D; Madai VI; Blasimme A
    PLoS One; 2023; 18(1):e0279088. PubMed ID: 36630325
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study.
    Pucchio A; Rathagirishnan R; Caton N; Gariscsak PJ; Del Papa J; Nabhen JJ; Vo V; Lee W; Moraes FY
    BMC Med Educ; 2022 Nov; 22(1):815. PubMed ID: 36443720
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.
    Ramgopal S; Kapes J; Alpern ER; Carroll MS; Heffernan M; Simon NE; Florin TA; Macy ML
    Hosp Pediatr; 2023 Sep; 13(9):802-810. PubMed ID: 37593809
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.
    van den Wittenboer GJ; van der Kolk BYM; Nijholt IM; Langius-Wiffen E; van Dijk RA; van Hasselt BAAM; Podlogar M; van den Brink WA; Bouma GJ; Schep NWL; Maas M; Boomsma MF
    Eur Radiol; 2024 Jan; ():. PubMed ID: 38206401
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey.
    Zheng B; Wu MN; Zhu SJ; Zhou HX; Hao XL; Fei FQ; Jia Y; Wu J; Yang WH; Pan XP
    BMC Health Serv Res; 2021 Oct; 21(1):1067. PubMed ID: 34627239
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence and pelvic fracture diagnosis on X-rays: a preliminary study on performance, workflow integration and radiologists' feedback assessment in a spoke emergency hospital.
    Rosa F; Buccicardi D; Romano A; Borda F; D'Auria MC; Gastaldo A
    Eur J Radiol Open; 2023 Dec; 11():100504. PubMed ID: 37484978
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study.
    Labrague LJ; Aguilar-Rosales R; Yboa BC; Sabio JB; de Los Santos JA
    Nurse Educ Pract; 2023 Nov; 73():103815. PubMed ID: 37922736
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.