Machine Learning is a branch of artificial intelligence that provides algorithms able to learn automatically, improve from experience, and make previsions. In the last years several machine learning algorithims have been developed in medical field, from imaging to big data analysis, obtaining applications for both diagnosis and prognosis. In this mini review, we report three our applications of machine learning in medicine: the first regards the research and classification of pulmunary nodules in computer tomography studies; the second, based on magnetic resonance studies, provides a classification method to be use as an aid in multiple sclerosis diagnosis; the third concerns the probability to be pos-itives to miocardial perfusion imaging, using demographic and clinical data of patients.
Grünewald TG, Alonso M, Avnet S, Banito A, Burdach S, Cidre-aranaz F, Di Pompo G, Distel M, Dorado-garcia H, Garcia-castro J, González-gonzález L, Grigoriadis AE, Kasan M, Koelsche C, Krumbholz M, Lecanda F, Lemma S, Longo DL, Madrigal-esquivel C, Morales-molina Á, Musa J, Ohmura S, Ory B, Pereira-silva M, Perut F, Rodriguez R, Seeling C, Al Shaaili N, Shaabani S, Shiavone K, Sinha S, Tomazou EM, Trautmann M, Vela M, Versleijen-jonkers YM, Visgauss J, Zalacain M, Schober SJ, Lissat A, English WR, Baldini N, Heymann D * Sarcoma treatment in the era of molecular medicine(330 views) Embo Mol Med (ISSN: 1757-4676linking), 2020 Oct 13; 12(11): e11131-N/D. Impact Factor:10.293 ViewExport to BibTeXExport to EndNote
Kim YH, Shin SW, Pellicano R, Fagoonee S, Choi IJ, Kim YI, Park B, Choi JM, Kim SG, Choi J, Park JY, Oh S, Yang HJ, Lim JH, Im JP, Kim JS, Jung HC, Ponzetto A, Figura N, Malfertheiner P, Choi IJ, Kook MC, Kim YI, Cho SJ, Lee JY, Kim CG, Park B, Nam BH, Bae SE, Choi KD, Choe J, Kim SO, Na HK, Choi JY, Ahn JY, Jung KW, Lee J, Kim DH, Chang HS, Song HJ, Lee GH, Jung HY, Seta T, Takahashi Y, Noguchi Y, Shikata S, Sakai T, Sakai K, Yamashita Y, Nakayama T, Leja M, Park JY, Murillo R, Liepniece-karele I, Isajevs S, Kikuste I, Rudzite D, Krike P, Parshutin S, Polaka I, Kirsners A, Santare D, Folkmanis V, Daugule I, Plummer M, Herrero R, Tsukamoto T, Nakagawa M, Kiriyama Y, Toyoda T, Cao X, Corral JE, Mera R, Dye CW, Morgan DR, Lee YC, Lin JT, Garcia Martin R, Matia Cubillo A, Lee SH, Park JM, Han YM, Ko WJ, Hahm KB, Leontiadis GI, Ford AC, Ichinose M, Sugano K, Jeong M, Park JM, Han YM, Park KY, Lee DH, Yoo JH, Cho JY, Hahm KB, Bang CS, Baik GH, Shin IS, Kim JB, Suk KT, Yoon JH, Kim YS, Kim DJ * Helicobacter pylori Eradication for Prevention of Metachronous Recurrence after Endoscopic Resection of Early Gastric Cancer(1373 views) N Engl J Med (ISSN: 0028-4793, 0028-4793linking, 1533-4406electronic), 2015 Jun; 30642104201566393291: 749-756. Impact Factor:59.558 ViewExport to BibTeXExport to EndNote
Malvindi MA, Greco A, Conversano F, Figuerola A, Corti M, Bonora M, Lascialfari A, Doumari HA, Moscardini M, Cingolani R, Gigli G, Casciaro S, Pellegrino T, Ragusa A * MR Contrast Agents(515 views) Small Animal Imaging, 2011 Jul 8; 21(13): 2548-2555. Impact Factor:1.784 ViewExport to BibTeXExport to EndNote