The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning
Abstract
This review summarizes recent progress made using Raman spectroscopy and machine learning for potential universal medical diagnostic applications.
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Cites
A systematic literature review of machine learning methods applied to predictive maintenance
Carvalho, T. P., Soares, F. A. A. M. N., Vita, R., Francisco, R. D. P., Basto, J. P., & Alcalá, S. G. S. (2019) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.106024 · Cited by 1,576
Review of SERS Substrates for Chemical Sensing
Mosier-Boss, P. (2017) · Nanomaterials · doi:10.3390/nano7060142 · Cited by 722
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Lussier, F., Thibault, V., Charron, B., Wallace, G. Q., & Masson, J.-F. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.115796 · Cited by 666
Kong, K., Kendall, C., Stone, N., & Notingher, I. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.03.009 · Cited by 653
A Review of Machine Learning and IoT in Smart Transportation
Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019) · Future Internet · doi:10.3390/fi11040094 · Cited by 625
Intraoperative brain cancer detection with Raman spectroscopy in humans
Jermyn, M., Mok, K., Mercier, J., Desroches, J., Pichette, J., Saint-Arnaud, K., Bernstein, L., Guiot, M.-C., Petrecca, K., & Leblond, F. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa2384 · Cited by 618
Surface-enhanced Raman spectroscopy for in vivo biosensing
Laing, S., Jamieson, L. E., Faulds, K., & Graham, D. (2017) · Nature Reviews Chemistry · doi:10.1038/s41570-017-0060 · Cited by 442
Applications of Raman spectroscopy in cancer diagnosis
Auner, G. W., Koya, S. K., Huang, C., Broadbent, B., Trexler, M., Auner, Z., Elias, A., Mehne, K. C., & Brusatori, M. A. (2018) · Cancer and Metastasis Reviews · doi:10.1007/s10555-018-9770-9 · Cited by 385
Developing and understanding biofluid vibrational spectroscopy: a critical review
Baker, M. J., Hussain, S. R., Lovergne, L., Untereiner, V., Hughes, C., Lukaszewski, R. A., Thiéfin, G., & Sockalingum, G. D. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00585j · Cited by 358
Clinical instrumentation and applications of Raman spectroscopy
Pence, I., & Mahadevan-Jansen, A. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00581g · Cited by 352
Cited by
Pan, L., Zhang, P., Daengngam, C., Peng, S., & Chongcheawchamnan, M. (2022) · Journal of Raman Spectroscopy · doi:10.1002/jrs.6225 · Cited by 116
Exploring explainable AI features in the vocal biomarkers of lung disease
Chen, Z., Liang, N., Li, H., Zhang, H., Li, H., Yan, L., Hu, Z., Chen, Y., Zhang, Y., Wang, Y., et al. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108844 · Cited by 26
Metadata
- Authors
- Ralbovsky, N. M., & Lednev, I. K.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 49
- Issue
- 20
- Pages
- 7428-7453
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W3091527610
- Cited by
- 328
- References
- 124
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ralbovsky, N. M., & Lednev, I. K. (2020). Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning. Chemical Society Reviews. https://doi.org/10.1039/d0cs01019g
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
