Special Issue on Novel Applications of Artificial Intelligence in Medicine and Health
Source abstract
Abstract
Artificial Intelligence (AI) is one of the big hopes for the future of a positive revolution in the use of medical data to improve clinical routine and personalized medicine [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Radiomics and Machine Learning in Medical Imaging · COVID-19 diagnosis using AI · Artificial Intelligence in Healthcare and Education
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
INESC TEC—Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal
UTAD—University of Trás-os-Montes and Alto Douro, 5001-801 Vila Real, Portugal
FCUP—Faculty of Science, University of Porto, 4169-007 Porto, Portugal
Funding
ERDF—European Regional Development Fund through the Operational Programme for Competitiveness · Internationalisation—COMPETE 2020 Programme · National Funds through the Portuguese funding agency · FCT-Foundation for Science and Technology Portugal
References (5)
Show source-provided references
1. Al-Rabiaah, S., Hosny, M., and AlMuhaideb, S. (2022). An Efficient Greedy Randomized Heuristic for the Maximum Coverage Facility Location Problem with Drones in Healthcare. Appl. Sci., 12.10.3390/app12031403 ↗
2. Mathiyazhagan, B., Liyaskar, J., Azar, A.T., Inbarani, H.H., Javed, Y., Kamal, N.A., and Fouad, K.M. (2022). Rough Set Based Classification and Feature Selection Using Improved Harmony Search for Peptide Analysis and Prediction of Anti-HIV-1 Activities. Appl. Sci., 12.10.3390/app12042020 ↗
3. Nappi, C., Megna, R., Volpe, F., Ponsiglione, A., Caiazzo, E., Piscopo, L., Mainolfi, C.G., Vergara, E., Imbriaco, M., and Klain, M. (2022). Quantification of Coronary Artery Atherosclerotic Burden and Muscle Mass: Exploratory Comparison of Two Freely Available Software Programs. Appl. Sci., 12.10.3390/app12115468 ↗
4. Sousa, J., Pereira, T., Silva, F., Silva, M.C., Vilares, A.T., Cunha, A., and Oliveira, H.P. (2022). Lung Segmentation in CT Images: A Residual U-Net Approach on a Cross-Cohort Dataset. Appl. Sci., 12.10.3390/app12041959 ↗
5. Morgado, J., Pereira, T., Silva, F., Freitas, C., Negrão, E., de Lima, B.F., da Silva, M.C., Madureira, A.J., Ramos, I., and Hespanhol, V. (2021). Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer. Appl. Sci., 11.10.3390/app11073273 ↗