Author Affiliations
To the Editor
I am writing to shed light on the significant adverse effects of chemotherapy treatment on cancer patients, particularly when viewed through the lens of artificial intelligence (AI) technology.
OpenAI launched Generative Pre-trained Transformer (ChatGPT) in November 2022, allowing users to engage in conversational interactions with a virtual assistant through language processing and machine learning [1].
With ChatGPT receiving extensive attention nowadays, the various cancer treatments and their side effects will no longer be the only professional concern, but also for the most technology-literate patients. A recent study reported that ChatGPT generated quality and empathetic responses to patient questions posed in an online forum [2].
Because scientific research is so important for creating treatments based on evidence, ChatGPT’s tendency to make wrong abstracts is worrisome, since it doesn’t have any automated tools to check the originality and accuracy of these AI-generated summaries [3].
Chemotherapy is effective in targeting cancer cells; however, its collateral impact extends to non-cancer cells, which leads to numerous side effects such as nausea, hair loss, fatigue, and bone marrow suppression. The variety of side effects of chemotherapy not only remains limited to physical discomfort but also contributes to emotional distress and mental health challenges such as anxiety, depression, and low self-esteem, compounding the already daunting battle against cancer [4].
Table 1 details a ChatGPT conversation about the top 5 questions that a patient receiving chemotherapy and his or her relatives might ask.
As determined by this research, ChatGPT generates detailed report with largely correct and reliable information using an accessible easy terms for the public for example “Some individuals may experience difficulties with memory, concentration, and other cognitive functions during and after chemotherapy, often referred to as “chemo brain.”, it’s interesting to see that ChatGPT discloses preventive consigns like “ Patients who have completed chemotherapy should undergo regular follow-up appointments with their healthcare team for ongoing monitoring and management of any potential long-term effects”, or some realistic personalized information like “It’s important to note that not all individuals will experience long-term effects, and the severity of these effects can vary”.
Nonetheless, the unverified nature of these responses puts us in a challenging position in terms of authenticity, as they lack any cited sources or references to validate the information.
The introduction of artificial intelligence (AI) in oncology has marked a transformative paradigm shift in cancer diagnosis, treatment, and management. It lets doctors look at a lot of information about a patient, like genetic and molecular profiles, treatment histories, imaging studies, and clinical parameters. This can help them find biomarkers that predict drug efficacy and toxicity. This lets them make a very targeted and personalized treatment plan by changing chemotherapy regimens (dosage levels, treatment duration, and combination therapies) based on each patient’s needs. This lowers the risk of side effects while increasing the therapeutic benefits [5].
However, a careful ethical, legal, and regulatory approach should be taken to ensure the patient’s privacy, data security, and transparency in algorithmic decision-making.
However, the collaborative efforts between AI and professional healthcare workers should be a promising horizon for enhancing patient care and treatment outcomes, focusing on patient-centered approaches that prioritize not only disease management but also the preservation of patients’ well-being and dignity, which will eventually ameliorate the overall experience in oncology for cancer patients.
| What are the adverse effects of chemotherapy? | Here are some common adverse effects of chemotherapy:
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| What are the long-term side effects of chemotherapy? | Factors such as the type and dose of chemotherapy drugs, the duration of treatment, the individual’s overall health, and the specific cancer under treatment can greatly influence the long-term effects of chemotherapy. While many individuals experience a resolution of side effects after completing chemotherapy, some may encounter long-term effects. Common long-term effects include:
It’s important to note that not all individuals will experience long-term effects, and the severity of these effects can vary. Advances in cancer treatment aim to minimize long-term complications, and healthcare providers carefully weigh the benefits and risks of chemotherapy when developing treatment plans. Patients who have completed chemotherapy should undergo regular follow-up appointments with their healthcare team for ongoing monitoring and management of any potential long-term effects. Open communication with healthcare providers about any new or persistent symptoms is crucial for addressing concerns and providing appropriate support and intervention. |
| What are the less common adverse effects of chemotherapy? | Less common adverse effects may include:
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| How can we prevent the less common side effects? | While it may not be possible to eliminate all side effects, the following strategies can help minimize the risk and severity of less common adverse effects:
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| How can AI help oncologists reduce chemotherapy side effects for patients? | AI can assist oncologists in several ways to reduce the side effects of chemotherapy for patients, including
Overall, AI serves as a valuable tool in oncology by enabling personalized, proactive, and data-driven approaches to chemotherapy management, ultimately leading to better outcomes and improved quality of life for cancer patients. |
Table 1: Conversation with ChatGPT about adverse reactions to chemotherapy
References
- King MR. A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cell Mol Bioeng. 2023;16(1):1-2. doi:10.1007/s12195-022-00755-0 PubMed | Crossref | Google Scholar
- Ayers JW, Poliak A, Dredze M, et al. Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Intern Med. 2023;183(6):589-596. doi:10.1001/jamainternmed.2023.1838 PubMed | Crossref | Google Scholar
- Deoghare S. An interesting conversation with ChatGPT about acne vulgaris. Indian Dermatol Online J. 2023;15(1):137-140. doi:10.4103/idoj.idoj_415_22 Crossref | Google Scholar
- Llamas-Ramos I, Alvarado-Omenat JJ, Rodrigo-Reguilón M, Llamas-Ramos R. Quality of life and side effects management in cancer treatment: A cross-sectional study. Int J Environ Res Public Health. 2023;20(3):1708. doi:10.3390/ijerph20031708 PubMed | Crossref | Google Scholar
- Singh AK, Ling J, Malviya R. Prediction of cancer treatment using advancements in machine learning. Recent Patents Anticancer Drug Discov. 2023;18(3). doi:10.2174/1574892818666230124111447 PubMed | Crossref | Google Scholar
Acknowledgments
Not reported
Funding
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Author Information
Haimeur Kawtar
Department of Medicine
University Mohammed VI of Health and Science, Casablanca – Settat, Morocco
Email: haimeurkawther@gmail.com
Author Contribution
The author contributed to the conceptualization, investigation, and data curation by acquiring and critically reviewing the selected articles and was involved in the writing – original draft preparation and writing – review & editing to refine the manuscript.
Ethical Approval
Not applicable
DOI
Cite this Article
Kawtar H. A Conversation with AI about Adverse Reactions of Chemotherapy. medtigo J Med. 2024;2(3):e3062257. doi:10.63096/medtigo3062257 Crossref

