Page 135 - EJMO-9-1

Eurasian Journal of Medicine and
Oncology
Oncology care with AI chatbots and assistants

highlighting the positive impact of AI-driven emotional medication adherence. In addition, emotional support
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support in oncology care. chatbots have contributed to a 35% reduction in anxiety levels
among oncology patients. Moreover, AI-driven telemedicine
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4.4.3. Treatment adherence: Hard metrics and interventions have shown a 25% increase in treatment
observed outcomes adherence by enhancing remote patient engagement. 9
While the benefits of emotional support and symptom The data and hard metrics presented demonstrate
management through AI-powered virtual assistants are that AI-powered virtual assistants and chatbots positively
well-documented, these tools have also demonstrated influence treatment adherence, emotional well-being,
measurable impacts on treatment adherence. Treatment and symptom management. These tools directly reduce
adherence can be assessed by two key metrics: the missed appointments, enhance medication adherence,
reduction in missed appointments and medication and improve engagement with telemedicine interventions.
adherence rates. AI-powered systems have successfully The availability of real-time reminders, emotional support,
implemented automated, personalized reminders for
patients regarding scheduled appointments. Chen et al. evidence-based symptom guidance, and predictive models
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found a 30% reduction in missed appointments among is contributing to better clinical outcomes and a more
patients exposed to AI-driven telemedicine and chatbot seamless patient care journey. This quantitative evidence
reminders. Predictive models utilized by these systems highlights the transformative role of AI tools in oncology
help identify potential adherence risks, enabling timely care, emphasizing their ability to fill critical gaps in patient
interventions to prevent missed care. engagement, treatment adherence, and timely support.
Medication non-adherence is a common challenge in 5. Balance between technology and human
oncology due to complex treatment regimens and side care
effects. AI-powered tools address this by offering daily
medication reminders and proactive communication to While AI-powered virtual assistants and chatbots offer
monitor adherence. Research indicates that patients using remarkable capabilities to support oncology patients, it is
AI tools experience a 20% improvement in medication essential to emphasize that they are complementary tools
adherence compared to traditional methods of patient rather than replacements for human healthcare providers.
engagement, contributing to improved clinical outcomes The integration of AI into oncology care must maintain
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and reduced symptom severity. Similarly, Chen et al. a balance that ensures technological efficiency while
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presented similar results with real-time monitoring preserving the human empathy, judgment, and clinical
tools, reinforcing the role of AI in maintaining consistent expertise necessary for comprehensive cancer care. This
treatment adherence and remote patient monitoring. balance can be achieved by combining AI’s predictive
and data-driven strengths with the compassion and
4.4.4. AI’s impact on telemedicine integration and personalized decision-making skills of clinicians.
longitudinal monitoring
5.1. Real-world examples of human oversight in
AI-powered virtual assistants enhance treatment adherence AI-integrated oncology
by integrating seamlessly with telemedicine systems, which
enable real-time monitoring of treatment responses and In oncology care, human oversight remains crucial,
proactive patient engagement, especially for patients in especially in complex cases that require clinical judgment
remote or underserved areas. Telemedicine interventions and emotional support. AI excels in analyzing patterns,
powered by AI have been shown to improve treatment processing large datasets, and predicting outcomes, but
adherence by enhancing access to care and facilitating certain decisions rely on nuanced clinical insights that
communication between patients and providers. For AI cannot replicate. For example, in the diagnosis and
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instance, Chen et al. found that real-time telemedicine treatment of brain tumors, such as glioblastoma multiforme,
interventions led to a 25% increase in adherence rates, AI tools, such as ML models, can analyze MRI or CT scans
as patients could schedule follow-ups and receive remote to identify tumor location, type, and progression. However,
consultations, ensuring continuous and consistent care. treatment decisions involve multiple modalities, such as
surgery, radiotherapy, and chemotherapy, which depend
4.5. Summary of hard metrics on the patient’s functional status and personal preferences.
Table 5 highlights the measurable impacts of AI virtual These decisions often require a multidisciplinary team
assistants on key clinical outcomes. AI-powered reminders to interpret imaging alongside genetic data and assess
and support systems have led to a 30% reduction in missed patient-specific factors, demonstrating the importance of
oncology appointments and a 20% improvement in human expertise in guiding complex treatment plans.
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Volume 9 Issue 1 (2025) 127 doi: 10.36922/ejmo.6251