Maxim Topaz

1. TOPAZ, Maxim, MURGA, Ludmila, GADDIS, Katherine M., MCDONALD, Margaret, BAR-BACHAR, Ofrit, GOLDBERG, Yoav, BOWLES, Kathryn H. Mining fall-related information in clinical notes: comparison of rule-based and novel word embedding-based machine learning approaches. Journal of biomedical informatics. [Online ed.]. 2019, vol. 90, [article no.] 103103, str. 1-8, ilustr. ISSN 1532-0480. https://www.sciencedirect.com/science/article/pii/S1532046419300218?via%3Dihub, DOI: 10.1016/j.jbi.2019.103103. [COBISS.SI-ID 218390531]

2. TOPAZ, Maxim, ADAMS, Victoria, WILSON, Paula, WOO, Kyungmi, RYVICKER, Miriam. Free-text documentation of dementia symptoms in home healthcare : a natural language processing study. Gerontology & geriatric medicine. 2020, vol. 6, str. 1-10, graf. prikazi. ISSN 2333-7214. https://journals.sagepub.com/doi/10.1177/2333721420959861, https://journals.sagepub.com/doi/epub/10.1177/2333721420959861, DOI: 10.1177/2333721420959861. [COBISS.SI-ID 218349827]

3. TOPAZ, Maxim, KOLECK, Theresa A., ONORATO, Nicole, SMALDONE, Arlene, BAKKEN, Suzanne. Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients. Nursing outlook. 2020, vol. 69, iss. 3, str. 435-446, ilustr. ISSN 1528-3968. https://www.sciencedirect.com/science/article/pii/S0029655420307144, DOI: 10.1016/j.outlook.2020.12.007. [COBISS.SI-ID 218257667]

4. GERICH, Hanna von, MOEN, Hans, BLOCK, Lorraine J., CHU, Charlene H., DEFOREST, Haley, HOBENSACK, Mollie, MICHALOWSKI, Martin, MITCHELL, James, NIBBER, Raji, OLALIA, Marry Anne, PRUINELLI, Lisiane, RONQUILLO, Charlene E., TOPAZ, Maxim, PELTONEN, Laura-Maria. Artificial intelligence-based technologies in nursing : a scoping literature review of the evidence. International journal of nursing studies. [Online ed.]. 2022, vol. 127, [article no.] 104153, str. 1-20, tabele. ISSN 1873-491X. https://www.sciencedirect.com/science/article/pii/S0020748921002984?via%3Dihub, DOI: 10.1016/j.ijnurstu.2021.104153. [COBISS.SI-ID 223033859]

5. TOPAZ, Maxim, ZOLNOORI, Maryam, NORFUL, Allison A., PERRIER, Alexis, KOSTIĆ, Zoran, GEORGE, Maureen. Speech recognition can help evaluate shared decision making and predict medication adherence in primary care setting. PloS one. 2022, vol. 17, iss. 8, [article no.] e0271884, str. 1-12, ilustr., tabele. ISSN 1932-6203. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271884, DOI: 10.1371/journal.pone.0271884. [COBISS.SI-ID 217893379]

6. CHAE, Sena, DAVOUDI, Anahita, SONG, Jiyoun, EVANS, Lauren, HOBENSACK, Mollie, BOWLES, Kathryn H., MCDONALD, Margaret, BARRÓN, Yolanda, COLLINS ROSSETTI, Sarah, CATO, Kenrick, SRIDHARAN, Sridevi, TOPAZ, Maxim. Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. Journal of the American Medical Informatics Association. 2023, vol. 30, iss. 10, str. 1622-1633, graf. prikazi. ISSN 1527-974X. https://academic.oup.com/jamia/article/30/10/1622/7222935, DOI: 10.1093/jamia/ocad129. [COBISS.SI-ID 217945859]

7. GOSAK, Lucija, PRUINELLI, Lisiane, TOPAZ, Maxim, ŠTIGLIC, Gregor. The ChatGPT effect and transforming nursing education with generative AI : discussion paper. Nurse education in practice. 2024, vol. 75, [article no.] 103888, str. 1-6, ilustr. ISSN 1873-5223. https://www.sciencedirect.com/science/article/pii/S1471595324000179, DOI: 10.1016/j.nepr.2024.103888. [COBISS.SI-ID 181152259]

8. ZOLNOORI, Maryam, SRIDHARAN, Sridevi, ZOLNOUR, Ali, VERGEZ, Sasha, MCDONALD, Margaret, KOSTIĆ, Zoran, BOWLES, Kathryn H., TOPAZ, Maxim. Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. Journal of the American Medical Informatics Association. 2024, vol. 31, iss. 2, str. 435-444, graf. prikazi. ISSN 1527-974X. https://academic.oup.com/jamia/article-abstract/31/2/435/7320054?redirectedFrom=fulltext, DOI: 10.1093/jamia/ocad195. [COBISS.SI-ID 217958915]

9. CILAR BUDLER, Leona, CHEN, Hongyu, CHEN, Aokun, TOPAZ, Maxim, TAM, Wilson, BIAN, Jiang, ŠTIGLIC, Gregor. A brief review on benchmarking for large language models evaluation in healthcare. Wiley interdisciplinary reviews. Data mining and knowledge discovery. [Online ed.]. 2025, vol. 15, iss. 2, [article no.] e70010, str. 1-16, ilustr. ISSN 1942-4795. https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.70010, Digitalna knjižnica Univerze v Mariboru – DKUM, DOI: 10.1002/widm.70010. [COBISS.SI-ID 234990851]
project: GC-0001 Umetna inteligenca za znanost; funder: ARRS
project: P2-0057 Informacijski sistemi; funder: ARRS

10. TOPAZ, Maxim. Harnessing the power of aritifical inteligence in nursing: New data streams to transform care : new data streams to transform care = Izkoriščanje zmogljivosti umetne inteligence v zdravstveni negi : preoblikovanje zdravstvene nege z novimi podatkovnimi tokovi. Obzornik zdravstvene nege : strokovno glasilo Zveze društev medicinskih sester in zdravstvenih tehnikov Slovenije. 2025, letn. 59, št. 1, str. 4-7. ISSN 1318-2951. https://obzornik.zbornica-zveza.si/index.php/ObzorZdravNeg/article/view/3323, https://doi.org/10.14528/snr.2025.59.1.3323, DOI: 10.14528/snr.2025.59.1.3323. [COBISS.SI-ID 229915651]

11. FIJAČKO, Nino, ŠTIGLIC, Gregor, TOPAZ, Maxim, GREIF, Robert. Using openAI`s text-to-video model Sora to generate cardiopulmonary resuscitation content. Resuscitation. [Online ed.]. 2025, vol. 207, [article no.] 110484, str. 1-2. ISSN 1873-1570. https://www.sciencedirect.com/science/article/pii/S0300957224008591?via%3Dihub, DOI: 10.1016/j.resuscitation.2024.110484. [COBISS.SI-ID 223891459]