Beyond technological enthusiasm

Preserving evidence in accelerated science

Authors

  • Lisandro Gonçalves Journal of Digital Health and Advanced Biomaterials, Maringá, Paraná, Brazil. , LifeDent Esthetic Clinic, Maringá, Paraná, Brazil. https://orcid.org/0009-0004-8140-2876

DOI:

https://doi.org/10.67463/ynd16543

Keywords:

digital health, advanced biomaterials, editorial responsibility, methodological rigor, accountable innovation, robotic telesurgery

Abstract

This closing editorial reflects on the inaugural volume of the Journal of Digital Health and Advanced Biomaterials by arguing that technological innovation acquires scientific value only when it remains accountable to evidence. It addresses the methodological risks of accelerated science, the growing importance of traceability and reproducibility, and the responsibility of scientific journals to preserve critical scrutiny in fields shaped by artificial intelligence, robotic systems, digital infrastructures, and advanced biomaterials.

Author Biography

  • Lisandro Gonçalves, Journal of Digital Health and Advanced Biomaterials, Maringá, Paraná, Brazil., LifeDent Esthetic Clinic, Maringá, Paraná, Brazil.

    Lisandro Gonçalves, DDS, MSc, is a dentist, researcher, and Editor-in-Chief of the Journal of Digital Health and Advanced Biomaterials. He serves as Clinical Director of LifeDent Esthetic Clinic and works in endodontics, digital dentistry, dental materials, scientific methodology, and artificial intelligence applied to academic research. He is also the developer of the PENSAR-IA methodological protocol.

References

World Health Organization. Global strategy on digital health 2020-2025. Geneva: World Health Organization; 2021.

Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17(1):195. doi:10.1186/s12916-019-1426-2. DOI: https://doi.org/10.1186/s12916-019-1426-2

Goldsack JC, Coravos A, Bakker JP, Bent B, Dowling AV, Fitzer-Attas C, et al. Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for biometric monitoring technologies (BioMeTs). NPJ Digit Med. 2020;3:55. doi:10.1038/s41746-020-0260-4. DOI: https://doi.org/10.1038/s41746-020-0260-4

Liu X, Cruz Rivera S, Moher D, Calvert MJ, Denniston AK; SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. BMJ. 2020;370:m3164. doi:10.1136/bmj.m3164. DOI: https://doi.org/10.1136/bmj.m3164

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. BMJ. 2020;370:m3210. doi:10.1136/bmj.m3210. DOI: https://doi.org/10.1136/bmj.m3210

Collins GS, Moons KGM, Dhiman P, Logullo P, Beam AL, Peng L, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024;385:e078378. doi:10.1136/bmj-2023-078378. DOI: https://doi.org/10.1136/bmj-2023-078378

Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016;3:160018. doi:10.1038/sdata.2016.18. DOI: https://doi.org/10.1038/sdata.2016.18

National Academies of Sciences, Engineering, and Medicine. Reproducibility and replicability in science. Washington (DC): National Academies Press; 2019. doi:10.17226/25303. DOI: https://doi.org/10.17226/25303

U.S. Food and Drug Administration, Health Canada, Medicines and Healthcare products Regulatory Agency. Good machine learning practice for medical device development: guiding principles. Silver Spring (MD): U.S. Food and Drug Administration; 2021.

U.S. Food and Drug Administration, Health Canada, Medicines and Healthcare products Regulatory Agency. Transparency for machine learning-enabled medical devices: guiding principles. Silver Spring (MD): U.S. Food and Drug Administration; 2024.

Wagner WR, Sakiyama-Elbert SE, Zhang G, Yaszemski MJ, editors. Biomaterials science: an introduction to materials in medicine. 4th ed. London: Academic Press; 2020. doi:10.1016/C2017-0-02323-6. DOI: https://doi.org/10.1016/C2017-0-02323-6

Roach P, Farrar D, Perry CC. Interpretation of protein adsorption: surface-induced conformational changes. J Am Chem Soc. 2005;127(22):8168-73. doi:10.1021/ja042898o. DOI: https://doi.org/10.1021/ja042898o

International Organization for Standardization. ISO 10993-1:2018. Biological evaluation of medical devices—Part 1: evaluation and testing within a risk management process. Geneva: International Organization for Standardization; 2018.

D’Alton L, Souto DEP, Punyadeera C, Abbey B, Voelcker NH, Hogan C, et al. A holistic pathway to biosensor translation. Sens Diagn. 2024;3:1234-46. doi:10.1039/D4SD00088A. DOI: https://doi.org/10.1039/D4SD00088A

de Farias FAC, Dagostini CM, Bicca YA, Falavigna VF, Falavigna A. Remote patient monitoring: a systematic review. Telemed J E Health. 2020;26(5):576-83. doi:10.1089/tmj.2019.0066. DOI: https://doi.org/10.1089/tmj.2019.0066

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Published

2026-05-26

Issue

Section

Closing Editorial

How to Cite

1.
Gonçalves L. Beyond technological enthusiasm: Preserving evidence in accelerated science. J. Digit. Health Adv. Biomater [Internet]. 2026 May 26 [cited 2026 Sep. 9];1(1):70–72. Available from: https://test.journal.jdhab.org/index.php/jhab/article/view/closing-editorial-vol1n1-2026