International Organization for Standardization

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

Fico, G., Hernanzez, L., Cancela, J., Dagliati, A., Sacchi, L., Martinez-Millana, A., Posada, J., Manero, L., Verdú, J., Facchinetti, A., et al. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0887-8 · Cited by 22

Establishing Methods to Determine Clinically Relevant Bolus and Basal Rate Delivery Accuracy of Insulin Pumps

Kamecke, U., Waldenmaier, D., Haug, C., Ziegler, R., & Freckmann, G. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818788349 · Cited by 25

Kinetic analysis of hydrothermal carbonization using high-pressure differential scanning calorimetry applied to biomass

Pecchi, M., Patuzzi, F., Benedetti, V., Di Maggio, R., & Baratieri, M. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.114810 · Cited by 24

Impact of energy supply infrastructure in life cycle analysis of hydrogen and electric systems applied to the Portuguese transportation sector

Lucas, A., Neto, R. C., & Silva, C. A. (2012) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2012.04.127 · Cited by 23

Untitled work

(2016) · doi:10.1177/1932296816634356 · Cited by 23

Processing of diagnostic blood specimens: is it really necessary to mix primary blood tubes after collection with evacuated tube system?

Lima-Oliveira, G., Lippi, G., Salvagno, G. L., Brocco, G., Gaino, S., Dima, F., Volaski, W., Rego, F. G., Picheth, G., & Guidi, G. C. (2014) · Biopreservation and Biobanking · doi:10.1089/bio.2013.0043 · Cited by 22

Lactic acid bacteria and bifidobacteria deliberately introduced into the agro-food chain do not significantly increase the antimicrobial resistance gene pool

Rozman, V., Mohar Lorbeg, P., Treven, P., Accetto, T., Golob, M., Zdovc, I., & Bogovič Matijašić, B. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2127438 · Cited by 21

Systematic Analysis of Mobile Diabetes Management Applications on Different Platforms

Garcia, E., Martin, C., Garcia, A., Harrison, R., & Flood, D. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-25364-5_27 · Cited by 21

Life-Cycle Assessment for the Cradle-to-Gate Production of Softwood Lumber in the Pacific Northwest and Southeast Regions*

Milota, M., & Puettmann, M. E. (2017) · Forest Products Journal · doi:10.13073/fpj-d-16-00062 · Cited by 21

Digital health interventions in dermatology—Mapping technology and study parameters of systematically identified publications

Reinders, P., Augustin, M., Kirsten, N., Fleyder, A., & Otten, M. (2023) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.19392 · Cited by 19

Exploring the Usability of Mobile Apps Supporting Radiologists’ Training in Diagnostic Decision Making

Kim, M. S., Aro, M. R., Lage, K. J., Ingalls, K. L., Sindhwani, V., & Markey, M. K. (2016) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2015.07.021 · Cited by 14

Short-term forecasts of expected deaths

Rizzi, S., & Vaupel, J. W. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025324118 · Cited by 18

Preanalytical external quality assessment of the Croatian Society of Medical Biochemistry and Laboratory Medicine and CROQALM: finding undetected weak spots

Nikolac, N., Lenicek Krleza, J., & Simundic, A.-M. (2017) · Biochemia Medica · doi:10.11613/bm.2017.017 · Cited by 18

EFFECTS OF AUGMENTED SITUATIONAL AWARENESS ON DRIVER TRUST IN SEMI-AUTONOMOUS VEHICLE OPERATION

Petersen, L., Tilbury, D., Robert, L., & Yang, X. J. (2017) · SAE Technical Paper Series · doi:10.4271/2024-01-3654 · Cited by 18

The financial impact of inaccurate blood glucose monitoring systems

Fortwaengler, K., Campos-Náñez, E., Parkin, C. G., & Breton, M. D. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817731423 · Cited by 17

Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems

Fahmy, H., Pastore, F., Briand, L., & Stifter, T. (2023) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3569935 · Cited by 17

Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users

Schor, B. G. S., Norval, C., Charlesworth, E., & Singh, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642531 · Cited by 17

Controlled Release of a Therapeutic Peptide in Sprayable Surgical Sealant for Prevention of Postoperative Abdominal Adhesions

Erdi, M., Saruwatari, M. S., Rozyyev, S., Acha, C., Ayyub, O. B., Sandler, A. D., & Kofinas, P. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c00283 · Cited by 15

Innovative digital technologies for quality assurance of diagnosis of human African trypanosomiasis

Hasker, E., Kwete, J., Inocencio da Luz, R., Mpanya, A., Bebronne, N., Makabuza, J., Claeys, Y., Ilunga, J., Lejon, V., Mumba Ngoyi, D., et al. (2018) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0006664 · Cited by 14

Accuracy of a blood glucose monitoring system that recognizes insufficient sample blood volume and allows application of more blood to the same test strip

Harrison, B., & Brown, D. (2020) · Expert Review of Medical Devices · doi:10.1080/17434440.2020.1704253 · Cited by 12

Evaluation of two glucose meters and interference corrections for screening neonatal hypoglycemia

Wada, Y., Nakamura, T., Kaneshige, M., Takahashi, S., Fujinaga, H., Tsukamoto, K., Ito, Y., & Sago, H. (2015) · Pediatrics International · doi:10.1111/ped.12543 · Cited by 12

Aseptic simulation test for cytotoxic drug production in isolators

Savry, A., Correard, F., Bennis, Y., Roubaud, S., Gauthier-Villano, L., Pisano, P., & Pourroy, B. (2014) · American Journal of Health-System Pharmacy · doi:10.2146/ajhp130343 · Cited by 11

How Misclassification Severity and Timing Influence User Trust in AI Image Classification: User Perceptions of High- and Low-Stakes Contexts

Freel, A., Pias, S. B. H., Šabanović, S., & Kapadia, A. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3715275.3732187 · Cited by 11

Blood glucose monitoring devices: current considerations

Sly, B., & Taylor, J. (2023) · Australian Prescriber · doi:10.18773/austprescr.2023.013 · Cited by 11

Ensuring nutrition and food safety within planetary boundaries: the role of microalgae-based ingredients in sustainable food chain

Dutra, D. A., Deprá, M. C., Dias, R. R., Zepka, L. Q., & Jacob-Lopes, E. (2024) · Journal of Applied Phycology · doi:10.1007/s10811-024-03313-y · Cited by 10

Automated blood pressure measuring devices: how are they clinically validated for accuracy?

Ringrose, J. S., & Padwal, R. (2022) · Journal of Human Hypertension · doi:10.1038/s41371-022-00761-2 · Cited by 9

A comparative analysis of interpupillary distance measurement techniques evaluation in modern times: from rulers to apps

Jung, Y. R., & Chu, B. S. (2024) · Clinical Optometry · doi:10.2147/opto.s491431 · Cited by 7

Development and Application of a Microplate Assay for Toxicity Testing on Aquatic Cyanobacteria

Le Page, G., Gunnarsson, L., Snape, J., & Tyler, C. R. (2019) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4657 · Cited by 6

A Lifecycle Assessment of Meat Processing Products Made from Protein-Based Thermoplastics

Verbeek, C. J. R., Van der Merwe, D. W., & Bier, J. M. (2023) · Sustainability · doi:10.3390/su15043455 · Cited by 6

Extracting Efficient Spectrograms From MP3 Compressed Speech Signals for Synthetic Speech Detection

Xiang, Z., Yadav, A. K. S., Tubaro, S., Bestagini, P., & Delp, E. J. (2023) · Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security · doi:10.1145/3577163.3595104 · Cited by 6

Evaluation of a continuous glucose monitoring system in healthy dairy calves and adult goats

Brobst, M. N., Abi-Nader, B. A., Blasczynski, S. J., & Chigerwe, M. (2024) · American Journal of Veterinary Research · doi:10.2460/ajvr.24.03.0076 · Cited by 6

Designing Disease-Specific mHealth Apps for Clinical Value

Keshavjee, K., Johnston-Jewell, D., Lee, B., & Kyba, R. (2022) · Smart and Pervasive Healthcare · doi:10.5772/intechopen.99945 · Cited by 6

A Matlab-Based Educational Tool for Quantitative Risk Analysis

Acebes, F., De Antón, J., Villafáñez, F., & Poza, D. (2023) · Lecture Notes on Data Engineering and Communications Technologies · doi:10.1007/978-3-031-27915-7_8 · Cited by 6

Development of a tool for measuring uncertainty of acute cytotoxicity results using the methodology of OECD Guidance Document 129

Neves, L. D. O., Garrido, B. C., Granjeiro, J. M., & Balottin, L. B. L. (2025) · NAM Journal · doi:10.1016/j.namjnl.2025.100021 · Cited by 1