AI is used to support early guidance, improve diagnostic timelines, and assist in treatment planning, helping deliver more precise and timely cancer care.

No. AI supports the doctor, but all medical decisions are made by experienced oncologists, ensuring care remains human-led and clinically sound.

AI helps by analyzing medical data efficiently, reducing delays and supporting earlier identification of potential cancer-related concerns.

AI assists in precision oncology by helping guide personalized treatment approaches, which can contribute to better outcomes and informed care planning.

Yes. AI tools are used as clinical support systems and are applied alongside established, evidence-based oncology practices under medical supervision.

Treatment timelines depend on the type and stage of cancer. In some cases, further evaluation is required before starting therapy.

Yes. Patients are encouraged to feel confident about their care decisions, and second opinions are respected.

Treatment plans are designed to balance effectiveness with quality of life. Possible side effects are discussed in advance.

Follow-up schedules vary depending on treatment type and response, and will be clearly communicated.

Yes. Pain management, nutritional counseling, and psychosocial support are integrated into care when needed.