BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

332 related articles for article (PubMed ID: 35761160)

  • 1. Machine learning in neuro-oncology: toward novel development fields.
    Di Nunno V; Fordellone M; Minniti G; Asioli S; Conti A; Mazzatenta D; Balestrini D; Chiodini P; Agati R; Tonon C; Tosoni A; Gatto L; Bartolini S; Lodi R; Franceschi E
    J Neurooncol; 2022 Sep; 159(2):333-346. PubMed ID: 35761160
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial intelligence and machine learning for medical imaging: A technology review.
    Barragán-Montero A; Javaid U; Valdés G; Nguyen D; Desbordes P; Macq B; Willems S; Vandewinckele L; Holmström M; Löfman F; Michiels S; Souris K; Sterpin E; Lee JA
    Phys Med; 2021 Mar; 83():242-256. PubMed ID: 33979715
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prime Time for Artificial Intelligence in Interventional Radiology.
    Seah J; Boeken T; Sapoval M; Goh GS
    Cardiovasc Intervent Radiol; 2022 Mar; 45(3):283-289. PubMed ID: 35031822
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist.
    Gombolay GY; Gopalan N; Bernasconi A; Nabbout R; Megerian JT; Siegel B; Hallman-Cooper J; Bhalla S; Gombolay MC
    Pediatr Neurol; 2023 Apr; 141():42-51. PubMed ID: 36773406
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Current state of radiomics in pediatric neuro-oncology practice: a systematic review.
    Albalkhi I; Bhatia A; Lösch N; Goetti R; Mankad K
    Pediatr Radiol; 2023 Sep; 53(10):2079-2091. PubMed ID: 37195305
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence and machine learning in orthopedic surgery: a systematic review protocol.
    Maffulli N; Rodriguez HC; Stone IW; Nam A; Song A; Gupta M; Alvarado R; Ramon D; Gupta A
    J Orthop Surg Res; 2020 Oct; 15(1):478. PubMed ID: 33076945
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence as an emerging technology in the current care of neurological disorders.
    Patel UK; Anwar A; Saleem S; Malik P; Rasul B; Patel K; Yao R; Seshadri A; Yousufuddin M; Arumaithurai K
    J Neurol; 2021 May; 268(5):1623-1642. PubMed ID: 31451912
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Role of artificial intelligence in brain tumour imaging.
    Chukwujindu E; Faiz H; Ai-Douri S; Faiz K; De Sequeira A
    Eur J Radiol; 2024 Jul; 176():111509. PubMed ID: 38788610
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
    Thompson RF; Valdes G; Fuller CD; Carpenter CM; Morin O; Aneja S; Lindsay WD; Aerts HJWL; Agrimson B; Deville C; Rosenthal SA; Yu JB; Thomas CR
    Radiother Oncol; 2018 Dec; 129(3):421-426. PubMed ID: 29907338
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations.
    Recht MP; Dewey M; Dreyer K; Langlotz C; Niessen W; Prainsack B; Smith JJ
    Eur Radiol; 2020 Jun; 30(6):3576-3584. PubMed ID: 32064565
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning-Based Radiomics in Neuro-Oncology.
    Ehret F; Kaul D; Clusmann H; Delev D; Kernbach JM
    Acta Neurochir Suppl; 2022; 134():139-151. PubMed ID: 34862538
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology.
    Fiani B; Pasko KBD; Sarhadi K; Covarrubias C
    Rev Neurosci; 2022 Jun; 33(4):383-395. PubMed ID: 34506699
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence in oncology: From bench to clinic.
    Elkhader J; Elemento O
    Semin Cancer Biol; 2022 Sep; 84():113-128. PubMed ID: 33915289
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A brief introduction to concepts and applications of artificial intelligence in dental imaging.
    Pauwels R
    Oral Radiol; 2021 Jan; 37(1):153-160. PubMed ID: 32803680
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier.
    Kaka H; Zhang E; Khan N
    Can Assoc Radiol J; 2021 Feb; 72(1):35-44. PubMed ID: 32946272
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.
    Martín Noguerol T; Paulano-Godino F; Martín-Valdivia MT; Menias CO; Luna A
    J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1239-1247. PubMed ID: 31492401
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Artificial Intelligence in Radiology - Definition, Potential and Challenges].
    Baessler B
    Praxis (Bern 1994); 2021 Jan; 110(1):48-53. PubMed ID: 33406927
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence applied to musculoskeletal oncology: a systematic review.
    Li MD; Ahmed SR; Choy E; Lozano-Calderon SA; Kalpathy-Cramer J; Chang CY
    Skeletal Radiol; 2022 Feb; 51(2):245-256. PubMed ID: 34013447
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.
    Thrall JH; Li X; Li Q; Cruz C; Do S; Dreyer K; Brink J
    J Am Coll Radiol; 2018 Mar; 15(3 Pt B):504-508. PubMed ID: 29402533
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
    Tang A; Tam R; Cadrin-Chênevert A; Guest W; Chong J; Barfett J; Chepelev L; Cairns R; Mitchell JR; Cicero MD; Poudrette MG; Jaremko JL; Reinhold C; Gallix B; Gray B; Geis R;
    Can Assoc Radiol J; 2018 May; 69(2):120-135. PubMed ID: 29655580
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.