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Artificial Intelligence for Clinical Trial Design.
Harrer S, Shah P, Antony B, Hu J. Harrer S, et al. Trends Pharmacol Sci. 2019 Aug;40(8):577-591. doi: 10.1016/j.tips.2019.05.005. Epub 2019 Jul 17. Trends Pharmacol Sci. 2019. PMID: 31326235 Free article. Review.
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, Morrell S, Wojna Z, Ahsen ME, Asif U, Jimeno Yepes A, Yohanandan S, Rabinovici-Cohen S, Yi D, Hoff B, Yu T, Chaibub Neto E, Rubin DL, Lindholm P, Margolies LR, McBride RB, Rothstein JH, Sieh W, Ben-Ari R, Harrer S, Trister A, Friend S, Norman T, Sahiner B, Strand F, Guinney J, Stolovitzky G; and the DM DREAM Consortium; Mackey L, Cahoon J, Shen L, Sohn JH, Trivedi H, Shen Y, Buturovic L, Pereira JC, Cardoso JS, Castro E, Kalleberg KT, Pelka O, Nedjar I, Geras KJ, Nensa F, Goan E, Koitka S, Caballero L, Cox DD, Krishnaswamy P, Pandey G, Friedrich CM, Perrin D, Fookes C, Shi B, Cardoso Negrie G, Kawczynski M, Cho K, Khoo CS, Lo JY, Sorensen AG, Jung H. Schaffter T, et al. Among authors: harrer s. JAMA Netw Open. 2020 Mar 2;3(3):e200265. doi: 10.1001/jamanetworkopen.2020.0265. JAMA Netw Open. 2020. PMID: 32119094 Free PMC article.
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data.
Roy S, Kiral I, Mirmomeni M, Mummert T, Braz A, Tsay J, Tang J, Asif U, Schaffter T, Ahsen ME, Iwamori T, Yanagisawa H, Poonawala H, Madan P, Qin Y, Picone J, Obeid I, Marques BA, Maetschke S, Khalaf R, Rosen-Zvi M, Stolovitzky G, Harrer S; IBM Epilepsy Consortium. Roy S, et al. Among authors: harrer s. EBioMedicine. 2021 Apr;66:103275. doi: 10.1016/j.ebiom.2021.103275. Epub 2021 Mar 18. EBioMedicine. 2021. PMID: 33745882 Free PMC article.
The system uses custom data preparation methods, deep learning analytics and electroencephalography (EEG) data. METHODS: Scalp EEG data of 365 patients containing 171,745 s ictal and 2,185,864 s interictal samples obtained from clinical monitoring systems were analy …
The system uses custom data preparation methods, deep learning analytics and electroencephalography (EEG) data. METHODS: Scalp EEG data of 3 …
Artificial intelligence-enhanced epileptic seizure detection by wearables.
Yu S, El Atrache R, Tang J, Jackson M, Makarucha A, Cantley S, Sheehan T, Vieluf S, Zhang B, Rogers JL, Mareels I, Harrer S, Loddenkemper T. Yu S, et al. Among authors: harrer s. Epilepsia. 2023 Dec;64(12):3213-3226. doi: 10.1111/epi.17774. Epub 2023 Oct 25. Epilepsia. 2023. PMID: 37715325
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.
Kiral-Kornek I, Roy S, Nurse E, Mashford B, Karoly P, Carroll T, Payne D, Saha S, Baldassano S, O'Brien T, Grayden D, Cook M, Freestone D, Harrer S. Kiral-Kornek I, et al. Among authors: harrer s. EBioMedicine. 2018 Jan;27:103-111. doi: 10.1016/j.ebiom.2017.11.032. Epub 2017 Dec 12. EBioMedicine. 2018. PMID: 29262989 Free PMC article.
Electrochemical protection of thin film electrodes in solid state nanopores.
Harrer S, Waggoner PS, Luan B, Afzali-Ardakani A, Goldfarb DL, Peng H, Martyna G, Rossnagel SM, Stolovitzky GA. Harrer S, et al. Nanotechnology. 2011 Jul 8;22(27):275304. doi: 10.1088/0957-4484/22/27/275304. Epub 2011 May 20. Nanotechnology. 2011. PMID: 21597142 Free PMC article.
69 results