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1
Yapay Zekâ: Geçmişi ve Geleceği
Gülsüm Esen;
2019 Çukurova Üniversitesi İlahiyat fakültesi dergisi (... DOI: 10.30627/cuilah.4810... 325 views
2
Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.
Jimenez-Pastor, Ana;Alberich-Bayarri, Angel;Fos-Guarinos, Belen;Garcia-Castro, Fabio;Garcia-Juan, Da...
2019 la radiologia medica DOI: 10.1007/s11547-019-0... 365 views
3
Artificial intelligence analysis of Newborn Leucocyte epigenomic markers for the Prediction of Autism.
Bahado-Singh, Ray O;Vishweswaraiah, Sangeetha;Aydas, Buket;Mishra, Nitish K;Yilmaz, Ali;Guda, Chitti...
2019 Brain research DOI: S0006-8993(19)30511-... 401 views
4
Big Data and Artificial Intelligence:Will they change our practice?
Kedra, Joanna;Gossec, Laure;
2019 joint bone spine DOI: S1297-319X(19)30120-... 321 views
5
Superior skin cancer classification by the combination of human and artificial intelligence.
Hekler, Achim;Utikal, Jochen S;Enk, Alexander H;Hauschild, Axel;Weichenthal, Michael;Maron, Roman C;...
2019 European journal of cancer (Oxford, England : 1990... DOI: S0959-8049(19)30427-... 380 views
6
Nano-magnetic walnut shell-rice husk for Cd(II) sorption: design and optimization using artificial intelligence and design expert.
Popoola, Lekan Taofeek;
2019 Heliyon DOI: 10.1016/j.heliyon.20... 411 views
7
A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation.
Smith, Stephen W;Rapin, Jeremy;Li, Jia;Fleureau, Yann;Fennell, William;Walsh, Brooks M;Rosier, Arnau...
2019 international journal of cardiology heart & vascul... DOI: 10.1016/j.ijcha.2019... 421 views
8
Artificial intelligence in pediatric cardiology and cardiac surgery: Irrational hype or paradigm shift?
Chang, Anthony C;
annals of pediatric cardiology DOI: 10.4103/apc.APC_55_1... 381 views
9
How can the personal discovery process evolve personalized medicine? An interview with Laura Towart.
A Towart, Laura;
2019 personalized medicine DOI: 10.2217/pme-2019-008... 460 views
10
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania.
Costache, Romulus;Tien Bui, Dieu;
2019 The Science of the total environment DOI: S0048-9697(19)33311-... 417 views
11
Otoscopic diagnosis using computer vision: An automated machine learning approach.
Livingstone, Devon;Chau, Justin;
2019 the laryngoscope DOI: 10.1002/lary.28292 491 views
12
The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge.
Shevlin, Henry;Vold, Karina;Crosby, Matthew;Halina, Marta;
2019 EMBO reports DOI: 10.15252/embr.201949... 367 views
13
Evolution map of the memristor: from pure capacitive state to resistive switching state.
Zhou, Guangdong;Wu, Jinggao;Wang, Lidan;Sun, Bai;Ren, Zhijun;Xu, Cunyun;Yao, Yanqing;Liao, Liping;Wa...
2019 Nanoscale DOI: 10.1039/c9nr05550a 370 views
14
From manual to artificial intelligence fitting: Two cochlear implant case studies.
Wathour, Justine;Govaerts, Paul J;Deggouj, Naïma;
2019 cochlear implants international DOI: 10.1080/14670100.201... 352 views
15
Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study.
Ribeiro, Antonio Luiz P;Paixão, Gabriela M M;Gomes, Paulo R;Ribeiro, Manoel Horta;Ribeiro, Antônio H...
2019 journal of electrocardiology DOI: S0022-0736(19)30498-... 411 views
16
Intelligent Artificial Intelligence: Present Considerations and Future Implications of Machine Learning Applied to Electrocardiogram Interpretation.
Kao, David P;
2019 circulation cardiovascular quality and outcomes DOI: 10.1161/CIRCOUTCOMES... 400 views
17
Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography.
Fukuda, Motoki;Inamoto, Kyoko;Shibata, Naoki;Ariji, Yoshiko;Yanashita, Yudai;Kutsuna, Shota;Nakata,...
2019 oral radiology DOI: 10.1007/s11282-019-0... 382 views
18
Different Perspectives: Report of the EVP to the House of Delegates at the 2019 Annual Meeting.
Maine, Lucinda L;
2019 american journal of pharmaceutical education DOI: 10.5688/ajpe7763 427 views
19
Essential Elements of Natural Language Processing: What the Radiologist Should Know.
Chen, Po-Hao;
2019 Academic radiology DOI: S1076-6332(19)30417-... 386 views
20
[Predictive value of serum procalcitonin and hypersensitive C-reactive protein levels in patients with acute cerebral infarction complicated with infection].
Wang, Huadong;
2019 zhonghua wei zhong bing ji jiu yi xue DOI: 10.3760/cma.j.issn.2... 418 views

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Yapay Zeka nils nilsson John Searle spine computed tomography decision forest autism dna methylation epigenetics newborns Machine learning Medicine big data rheumatology Deep learning skin cancer melanoma Environmental Science chemical engineering cadmium