Page 163 - ITU KALEIDOSCOPE, ATLANTA 2019
P. 163
ICT for Health: Networks, standards and innovation
Distributed Diagnosis and Home Healthcare [J]. [30] InferScholar Center.
D2H2 2006, 2006,P 160-163. https://www.infervision.com/en/solution
[21] Haux,. Health information systems-Past, present, [31] Ali ET Medical Brain.
future. International Journal of Medical https://www.alibabacloud.com/et/medical
Informatics[J]. V 75,n 3-4 SPEC. ISS. March / April
2006,P 268-281. [32] Joseph A. DiMasi, Henry G. Grabowski, Ronald W.
Hansen (2016). "Innovation in the pharmaceutical
[22] Winter Alfred. Brig Birgitl. Funkat Gert. 3LGM2- industry: New estimates of R&D costs". Journal of
Modeling to support management of health Health Economics.
information systems. International Journal of
Medical Informatics [J]. V 76, n2*3, February / [33] California Biomedical Research Association. "New
March 2007, P145-150. Drug Development Process" https://ca-
biomed.org/wp-content/uploads/2018/02/FS-
[23] Centers for Medicare & Medicaid Services (CMS), DrugDevelop.pdf
and Office of the National Coordinator for Health
Information Technology (ONC), HHS. Medicare [34] Mercom Capital Group report,
and Medicaid programs; modifications to the https://www.fiercehealthcare.com/tech/venture-
Medicare and Medicaid Electronic Health Record funding-for-digital-health-reached-9-5b-2018
(EHR) Incentive Program for 2014 and other
changes to EHR Incentive Program; and health [35] A. Galdran., T. Araújo, A. Mendonça, A. Campilho.
information technology: revision to the certified Retinal Image Quality Assessment by Mean-
EHR technology definition and EHR certification Subtracted Contrast-Normalized Coefficients, in:
changes related to standards. Final rule[J]. Federal European Congress on Computational Methods in
Register, 2014, 79(171):52909-33. Applied Sciences and Engineering Springer 2017 pp.
844–853.
[24] Doyle-Lindrud, Susan, DNP, AOCNP, DCC.
Watson Will See You Now: A Supercomputer to [36] Kaggle diabetic retinopathy competition
Help Clinicians Make Informed Treatment forum. https://www.kaggle.com/c/diabetic-
Decisions. Clinical Journal of Oncology Nursing; retinopathy-detection/forums/t/15605/human-
Pittsburgh Vol. 19, Iss. 1, (Feb 2015): 31-32. performance-on-the-competition-data-set . Accessed
June 30, 2016.
[25] Julia Powles, Hal Hodson. Google DeepMind and
healthcare in an age of algorithms, Health and [37] Kaggle Diabetic Retinopathy Detection
Technology, 2017, Volume 7, Number 4, Page 351 competition. https://www.kaggle.com/c/diabetic-
retinopathy-detection . Accessed June 30, 2016.
[26] Deep Learning Chipsets, CPUs, GPUs, FPGAs,
ASICs, SoC Accelerators, and Other Chipsets for [38] Krizhevsky A, Sutskever I, Hinton GE. ImageNet
Training and Inference Applications: Global Market classification with deep convolutional neural
Analysis and Forecasts: networks. Adv Neural Inf Processing Syst.
https://www.tractica.com/research/deep-learning- 2012:1097-1105.
chipsets/
[39] Russakovsky O, Deng J, Su H, et al. ImageNet large
[27] Mookiah MRK, Acharya UR, Chua CK, Lim CM, scale visual recognition challenge. Int J Comput Vis.
Ng EYK, Laude A. Computer-aided diagnosis of 2015;115(3):211-252.
diabetic retinopathy: a review. Comput Biol Med.
2013;43(12):2136-2155. [40] Decencière E, Etienne D, Xiwei Z, et al. Feedback
on a publicly distributed image database: the
[28] Elmore JG, Longton GM, Carney PA, et al. Messidor database. Image Anal Stereol.
Diagnostic Concordance Among Pathologists 2014;33(3):231-234. doi:10.5566/ias.1155
Interpreting Breast Biopsy Specimens. JAMA.
2015;313(11):1122–1132. [41] The International Medical Device Regulators Forum
doi:10.1001/jama.2015.1405 (IMDRF):http://www.imdrf.org
[29] Gulshan V, Peng L, Coram M, et al. Development [42] Wiegand Thomas, Krishnamurthy Ramesh,
and Validation of a Deep Learning Algorithm for Kuglitsch Monique, et al. (2019). WHO and ITU
Detection of Diabetic Retinopathy in Retinal Fundus establish benchmarking process for artificial
Photographs. JAMA. 2016;316(22):2402–2410. intelligence in health. The Lancet. 394.
doi:10.1001/jama.2016.17216 10.1016/S0140-6736(19)30762-7.
– 143 –