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1
Yapay Zekâ: Geçmişi ve Geleceği
Gülsüm Esen;
2019 Çukurova Üniversitesi İlahiyat fakültesi dergisi (... DOI: 10.30627/cuilah.4810... 238 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... 256 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-... 280 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-... 232 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-... 257 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... 319 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... 298 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... 281 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... 335 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-... 321 views
11
Otoscopic diagnosis using computer vision: An automated machine learning approach.
Livingstone, Devon;Chau, Justin;
2019 the laryngoscope DOI: 10.1002/lary.28292 380 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... 254 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 268 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... 246 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-... 292 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... 290 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... 289 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 309 views
19
Essential Elements of Natural Language Processing: What the Radiologist Should Know.
Chen, Po-Hao;
2019 Academic radiology DOI: S1076-6332(19)30417-... 292 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... 313 views

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