Projects per year
Organization profile
Organization profile
The seedbed of artificial intelligence in health seeks to generate spaces for discussion, where from the problems that can be found in the areas of medicine and health sciences, and possible solutions from the engineering area can be merged to find viable solutions. At the same time, through the seedbed seeks to inform students and professionals in the area of artificial intelligence that is increasingly used in different fields, being considered transversal for many sciences.
Research Lines:
Mainly, but not limited to:
- Analysis of physiological phenomena through the use of biosignal processing.
- Motion analysis from pose models.
- Bioinformatics and Artificial Intelligence (in conjunction with SyNERGIA).
- Health Data Science.
- Diagnostic Support Systems.
- Machine and Deep Learning.
- Natural Language Processing.
Objectives:
- To encourage the study of existing techniques in artificial intelligence with the purpose of applying them in the solution of problems in the field of health.
- Establish solutions in the area of medicine and health sciences through different paradigms of artificial intelligence.
- To generate new alternatives for the creation of artificial intelligence models based on bio-inspired systems.
- To establish spaces for meeting different disciplines for joint interdisciplinary work in solution to health problems.
Organization profile
The seedbed of artificial intelligence in health seeks to generate spaces for discussion, where from the problems that can be found in the areas of medicine and health sciences, and possible solutions from the engineering area can be merged to find viable solutions. At the same time, through the seedbed seeks to inform students and professionals in the area of artificial intelligence that is increasingly used in different fields, being considered transversal for many sciences.
Research Lines:
Mainly, but not limited to:
- Analysis of physiological phenomena through the use of biosignal processing.
- Motion analysis from pose models.
- Bioinformatics and Artificial Intelligence (in conjunction with SyNERGIA).
- Health Data Science.
- Diagnostic Support Systems.
- Machine and Deep Learning.
- Natural Language Processing.
Objectives:
- To encourage the study of existing techniques in artificial intelligence with the purpose of applying them in the solution of problems in the field of health.
- Establish solutions in the area of medicine and health sciences through different paradigms of artificial intelligence.
- To generate new alternatives for the creation of artificial intelligence models based on bio-inspired systems.
- To establish spaces for meeting different disciplines for joint interdisciplinary work in solution to health problems.
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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Artificial Intelligence Applied to Transcription and Pause Analysis for Clinical Linguistic Analysis.
Orjuela Cañón, A. D., Martinez Rodriguez, A., Jimenez Hernandez, M. F. & Castaneda Uribe, O. A.
11/1/23 → 11/1/24
Project: Research Project
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Environment and Health
Barragan Gonzalez, A. M., Buitrago Medina, D. A., Londoño Tobón, L. F., Moya Ortiz, C. A., Rojas Reyes, C., Ospina Espinosa, M., Noriega Ramírez, S., Hernandez Duarte, I., De Brigard Cabal, S., Guerrero Leon, S. J., Orjuela Cañón, A. D. & Perdomo Charry, O. J.
5/4/20 → 11/30/21
Project: Research Project
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Colombian Sign Language Classification Based on Hands Pose and Machine Learning Techniques
Vera, A., Pérez, C., Sánchez, J. J. & Orjuela-Cañón, A. D., Jan 1 2023, Smart Technologies, Systems and Applications - 3rd International Conference, SmartTech-IC 2022, Revised Selected Papers. Narváez, F. R., Urgilés, F., Salgado-Guerrero, J. P. & Bastos-Filho, T. F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-160 12 p. (Communications in Computer and Information Science; vol. 1705 CCIS).Research output: Chapter in Book/Inform › Chapter › Research
2 Scopus citations -
Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein
Campos, M. S. R., López, D. A. G., Rivera, J. A. C., Rodriguez, D. C., Perdomo, O. J. & Orjuela-Cañon, A. D., Nov 23 2022, Applied Computer Sciences in Engineering - 9th Workshop on Engineering Applications, WEA 2022, Proceedings. Figueroa-García, J. C., Franco, C., Díaz-Gutierrez, Y. & Hernández-Pérez, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 31-40 10 p. (Communications in Computer and Information Science; vol. 1685 CCIS).Research output: Chapter in Book/Inform › Chapter › Research
Open Access2 Scopus citations -
Multilabel and Multiclass Approaches Comparison for Respiratory Sounds Classification
Gómez, A. F. R. & Orjuela-Cañón, A. D., Mar 1 2022, Applications of Computational Intelligence. Orjuela-Cañón, A. D., Lopez, J. A., Arias-Londoño, J. D. & Figueroa-García, J. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 53-62 10 p. (Communications in Computer and Information Science; vol. 1471 CCIS).Research output: Chapter in Book/Inform › Chapter › Research
Open Access3 Scopus citations