> For the complete documentation index, see [llms.txt](https://carthalis.gitbook.io/carthalis-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://carthalis.gitbook.io/carthalis-docs/getting-started/quickstart-6.md).

# References

\[^1]: Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). **Dermatologist-level classification of skin cancer with deep neural networks**. *Nature*, 542(7639), 115-118.

\[^2]: Moshawrab, Mohammad, et al. "Smart wearables for the detection of cardiovascular diseases: a systematic literature review." *Sensors* 23.2 (2023): 828.

\[^3]: Ghaffar Nia N, Kaplanoglu E, Nasab A. Evaluation of artificial intelligence techniques in disease diagnosis and prediction. *Discover Artificial Intelligence*. 2023;3(5). doi:10.1007/s44163-023-00049-5.

\[^4]Goh E, Gallo R, Hom J, et al. Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial. *JAMA Netw Open.* 2024;7(10):e2440969. doi:10.1001/jamanetworkopen.2024.40969

\[^5]: Ahmed, Arfan, et al. "Machine learning models to detect anxiety and depression through social media: A scoping review." *Computer methods and programs in biomedicine update* 2 (2022): 100066.

\[^6]: KIDROP: Karnataka Internet Assisted Diagnosis of Retinopathy of Prematurity. (n.d.). *India AI*. Retrieved from <https://indiaai.gov.in/article/how-ai-is-saving-indians-from-going-blind-four-case-studies>

\[^7]: World Health Organization. \*\*Retention of the health workforce in rural and remote areas: a systematic review.\*\*Published December 8, 2020. Accessed November 30, 2024. <https://www.who.int/news/item/08-12-2020-retention-of-the-health-workforce-in-rural-and-remote-areas-a-systematic-review>

\[^8] Statista. (2024). *Monthly unique visitors to WebMD worldwide*. Retrieved from[https://www.statista.com](https://www.statista.com/)

\[^9]: The anxiety-inducing effects of health information: One study highlights that exposure to extensive lists of potential conditions on symptom-checking platforms can increase health-related anxiety. (Semigran et al., 2016, *BMJ Quality & Safety*).

\[^10]: Downing A, Perakslis E. Health Advertising on Facebook: Privacy & Policy Considerations. *arXiv*. Published January 18, 2022. Accessed November 30, 2024. <https://arxiv.org/abs/2201.07263>

\[^11]: Winkler EC, Jungkunz M, Thorogood A, Lotz V, Schickhardt C. Patient data for commercial companies? An ethical framework for sharing patients’ data with for-profit companies for research. *J Med Ethics*. Published online May 24, 2023. doi:10.1136/jme-2022-108781.

\[^12]: Mittelstadt, B. D., & Floridi, L. (2016). **The ethics of big data: current and foreseeable issues in biomedical contexts**. *Science and Engineering Ethics*, 22(2), 303-341.

\[^13]: Carter, P., Laurie, G. T., & Dixon-Woods, M. (2015). **The social licence for research: why care.data ran into trouble**. *Journal of Medical Ethics*, 41(5), 404-409.

\[^14]: World Health Organization. (2017). **Depression and other common mental disorders: global health estimates**.

\[^15]: Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., ... & UnÜtzer, J. (2018). **The Lancet Commission on global mental health and sustainable development**. *The Lancet*, 392(10157), 1553-1598.

\[^20]: Baur, Sebastien, et al. "HeAR--Health Acoustic Representations." *arXiv preprint arXiv:2403.02522* (2024).

\[^21]: U.S. Food and Drug Administration. (2021). **Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan**.