Artificial intelligence and digital health in Colombia: outlook of the most recent advances and future challenges
Downloads
References
El Arab RA, Al Moosa OA. Systematic review of cost-effectiveness and budget impact of artificial intelligence in healthcare. npj Digit Med. 2025;8:548. https://doi.org/10.1038/s41746-025-01722-y
Ong JCL, Ning Y, Collins GS, Bitterman DS, Beecy AN, Chang RT, et al. International partnership for governing generative artificial intelligence models in medicine. Nat Med. 2025;31:2836-9. https://doi.org/10.1038/s41591-025-03787-4
López DM, Rico-Olarte C, Blobel B, Hullin C. Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence. Front Med. 2022;9:958097. https://doi.org/10.3389/fmed.2022.958097
Liu X, Cruz Rivera S, Moher D, Calvert MJ, Denniston AK, Ashrafian H, et al. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. Nat Med. 2020;26:1364-74. https://doi.org/10.1038/s41591-020-1034-x
Cruz Rivera S, Liu X, Chan AW, Denniston AK, Calvert MJ; SPIRIT-AI and CONSORT-AI Working Group. Guidelines for clinical trial protocols for interventions involving artificial intelligence: The SPIRIT-AI extension. Nat Med. 2020;26:1351-63. https://doi.org/10.1038/s41591-020-1037-7
Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, van Calster B, et al. TRIPOD+AI statement: Updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024;385:e078378. https://doi.org/10.1136/bmj-2023-078378
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, et al. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. BMJ. 2022;377:e070904. https://doi.org/10.1136/bmj-2022-070904
Some similar items:
- María Clara Echeverry, Nubia Catalina Tovar, Guillermo Mora, Presence of antibodies to cardiac neuroreceptors in patients with Chagas disease , Biomedica: Vol. 29 No. 3 (2009)
- David Yepes, Francisco Molina, Gloria Ortiz, Ricardo Aguirre, Risk factors associated with the presence of pneumonia in patients with brain injury , Biomedica: Vol. 29 No. 2 (2009)
- Lázaro Vélez, Natalia Loaiza, Lina María Gaviria, María Angélica Maya, Zulma Vanessa Rueda, Luz Teresita Correa, Jorge Ortega, Héctor Ortega, Concordance between two methods of bronchoalveolar lavage for the microbiological diagnosis of pneumonia in mechanically ventilated patients , Biomedica: Vol. 28 No. 4 (2008)
- Guillermo Mora, María Clara Echeverry, Gustavo Enrique Rey, Myriam Consuelo López, Luisa Fernanda Posada, Fabio Aurelio Rivas, Frequency of Trypanosoma cruzi infection in patients with implanted pacemaker , Biomedica: Vol. 27 No. 4 (2007)
- Luis Alfonso Pérez, Diana Marcela González, Karen Margarita de Jesús Álvarez, Luis Alfonso Díaz-Martínez, Nasal CPAP versus mechanical ventilation in 28 to 32-week preterm infants with early surfactant administration , Biomedica: Vol. 34 No. 4 (2014)
Copyright (c) 2025 Biomedica
This work is licensed under a Creative Commons Attribution 4.0 International License.
| Article metrics | |
|---|---|
| Abstract views | |
| Galley vies | |
| PDF Views | |
| HTML views | |
| Other views | |
