These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 33664367)

  • 61. Preparing for Artificial Intelligence: Systems-Level Implications for the Medical Imaging and Radiation Therapy Professions.
    French J; Chen L
    J Med Imaging Radiat Sci; 2019 Dec; 50(4 Suppl 2):S20-S23. PubMed ID: 31648963
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Artificial Intelligence Chatbots in Allergy and Immunology Practice: Where Have We Been and Where Are We Going?
    Goktas P; Karakaya G; Kalyoncu AF; Damadoglu E
    J Allergy Clin Immunol Pract; 2023 Sep; 11(9):2697-2700. PubMed ID: 37301435
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Gaps and future of human-centered artificial intelligence in ophthalmology: Future Vision Forum consensus statement.
    Ting DSW; Humayun MS; Huang SS;
    Curr Opin Ophthalmol; 2023 Sep; 34(5):431-436. PubMed ID: 37459295
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Australian perspectives on artificial intelligence in medical imaging.
    Currie G; Nelson T; Hewis J; Chandler A; Spuur K; Nabasenja C; Thomas C; Wheat J
    J Med Radiat Sci; 2022 Sep; 69(3):282-292. PubMed ID: 35429129
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Stakeholders' Requirements for Artificial Intelligence for Healthcare in Korea.
    Yu JY; Hong S; Lee YC; Lee KH; Lee I; Seo Y; Kang M; Kim K; Cha WC; Shin SY
    Healthc Inform Res; 2022 Apr; 28(2):143-151. PubMed ID: 35576982
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories.
    Carobene A; Cabitza F; Bernardini S; Gopalan R; Lennerz JK; Weir C; Cadamuro J
    Clin Chem Lab Med; 2023 Mar; 61(4):535-543. PubMed ID: 36327445
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Artificial Intelligence and Pain Medicine: An Introduction.
    Hagedorn JM; George TK; Aiyer R; Schmidt K; Halamka J; D'Souza RS
    J Pain Res; 2024; 17():509-518. PubMed ID: 38328019
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Artificial intelligence in Dermatopathology.
    Jartarkar SR; Cockerell CJ; Patil A; Kassir M; Babaei M; Weidenthaler-Barth B; Grabbe S; Goldust M
    J Cosmet Dermatol; 2023 Apr; 22(4):1163-1167. PubMed ID: 36548174
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Artificial intelligence in healthcare: a primer for medical education in radiomics.
    Waldman CE; Hermel M; Hermel JA; Allinson F; Pintea MN; Bransky N; Udoh E; Nicholson L; Robinson A; Gonzalez J; Suhar C; Nayak K; Wesbey G; Bhavnani SP
    Per Med; 2022 Sep; 19(5):445-456. PubMed ID: 35880428
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.
    Gong B; Nugent JP; Guest W; Parker W; Chang PJ; Khosa F; Nicolaou S
    Acad Radiol; 2019 Apr; 26(4):566-577. PubMed ID: 30424998
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Impact of COVID-19 on cancer service delivery: results from an international survey of oncology clinicians.
    Chazan G; Franchini F; Alexander M; Banerjee S; Mileshkin L; Blinman P; Zielinski R; Karikios D; Pavlakis N; Peters S; Lordick F; Ball D; Wright G; I Jzerman M; Solomon B
    ESMO Open; 2020 Dec; 5(6):e001090. PubMed ID: 33262203
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients.
    Fritsch SJ; Blankenheim A; Wahl A; Hetfeld P; Maassen O; Deffge S; Kunze J; Rossaint R; Riedel M; Marx G; Bickenbach J
    Digit Health; 2022; 8():20552076221116772. PubMed ID: 35983102
    [TBL] [Abstract][Full Text] [Related]  

  • 73. 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]  

  • 74. Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.
    Valikodath NG; Al-Khaled T; Cole E; Ting DSW; Tu EY; Campbell JP; Chiang MF; Hallak JA; Chan RVP
    J AAPOS; 2021 Jun; 25(3):164.e1-164.e5. PubMed ID: 34087473
    [TBL] [Abstract][Full Text] [Related]  

  • 75. The Impact of Emerging Technologies on Residency Selection by Medical Students in 2017 and 2021, With a Focus on Diagnostic Radiology.
    Atalay MK; Baird GL; Stib MT; George P; Oueidat K; Cronan JJ
    Acad Radiol; 2023 Jun; 30(6):1181-1188. PubMed ID: 36058817
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Deep Integration of Physical Health Education Based on Intelligent Communication Technology.
    Liu M; Bu J
    J Healthc Eng; 2021; 2021():4323043. PubMed ID: 34567482
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Radiation oncology directors of training survey 2016: Perspectives and challenges.
    Leung J; Lehman M
    J Med Imaging Radiat Oncol; 2017 Dec; 61(6):791-796. PubMed ID: 28664678
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Artificial intelligence in radiology: trainees want more.
    Hashmi OU; Chan N; de Vries CF; Gangi A; Jehanli L; Lip G
    Clin Radiol; 2023 Apr; 78(4):e336-e341. PubMed ID: 36746724
    [TBL] [Abstract][Full Text] [Related]  

  • 79. The future is bright: artificial intelligence for trainee medical officers in Australia and New Zealand.
    Kovoor JG; Smallbone H; Jenkins A; Stretton B; Santhosh S; Jacobsen JHW; Gupta AK; Zaka A; Nann SD; Jiang M; Luo Y; Withers C; Ataie S; Nematzadeh N; Warren LR; Marshall-Webb M; Chan W; McNeil K; Gluck S; Turner R; Tan M; South T; Gilbert T; Hopkins AM; Vanlint AS; Sweetman GM; Bates TR; Hansra A; Bacchi S
    Intern Med J; 2024 Sep; ():. PubMed ID: 39305119
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Assessment of patient perceptions of artificial intelligence use in dermatology: A cross-sectional survey.
    Wu A; Ngo M; Thomas C
    Skin Res Technol; 2024 Mar; 30(3):e13656. PubMed ID: 38481072
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.