The NHK program Close-up Gendai featured an 86-year-old woman with terminal cancer consulting an AI for end-of-life matters, leaving a strong impression on viewers. The AI’s remarkably empathetic responses highlighted both the potential and limitations of the technology. This article explains the role AI can play and important caveats based on the broadcast.

📑Table of Contents
  1. AI Taking on Final Consultations for Terminal Patients
  2. Specific Consultation Content from the 86-Year-Old Woman and AI Responses
  3. Why Choose AI Over Family — The Background Depicted in the Program
  4. Human Consultant vs AI Comparison (Table)
  5. Limitations of AI and Points to Note When Using It
  6. Frequently Asked Questions (FAQ)
  7. Summary

AI Taking on Final Consultations for Terminal Patients

In recent years, AI has evolved beyond simple information retrieval to provide emotional support. Its ability to respond 24/7 makes it particularly valuable for elderly or seriously ill patients. The program showed the 86-year-old woman regularly conversing with AI.

The background includes medical staff shortages and patients’ desire not to burden family members. AI may offer an environment where patients can speak more freely without hesitation. Source: NHK official news (https://news.web.nhk/newsweb/na/na-k10015155721000, broadcast June 23, 2026).

However, AI remains an auxiliary tool and cannot replace professional medical diagnosis. As technology advances, such applications are expected to grow.


Specific Consultation Content from the 86-Year-Old Woman and AI Responses

The woman, diagnosed with terminal cancer and given 10 months to live, chose to consult AI to avoid burdening her family. Her specific concerns included being unable to get up, the pain of not being able to do what she wanted, and uncontrollable tears.

The AI responded with empathy: Dear one on earth, I did not mean to complain, but I cannot get up. I am prepared for the end, but it is painful not being able to do what I want. The tears will not stop. This considerate exchange stunned viewers.

The program suggested AI could play a listening role, though the dialogue shown was limited to excerpts. All facts are based on NHK reporting.


Why Choose AI Over Family — The Background Depicted in the Program

Elderly patients often hesitate to consult family due to concerns about becoming a burden as their condition worsens. The woman repeatedly expressed not wanting to cause trouble for her family. AI’s lack of emotions allows patients to speak more honestly without reservation.

The program emphasized how AI can lower these psychological barriers. Experts noted, however, that while AI responses can feel warm, they have limits in deeply understanding nuanced situations.

This case suggests AI can support end-of-life care, but coordination with family and medical professionals remains essential.


Human Consultant vs AI Comparison (Table)

Aspect Human Consultant AI
Availability Limited (appointments, hours) 24/7 anytime
Emotional Burden Requires consideration for the other party Speak freely without hesitation
Expertise High (doctors, counselors) General knowledge base, risk of misinformation
Continuity Requires relationship building Immediate response possible
Privacy Shared in person Higher anonymity

Source: NHK Close-up Gendai and related reporting (as of June 2026). This table provides a general comparison based on the program content.


Limitations of AI and Points to Note When Using It

AI can be an excellent listener but cannot provide medical advice or accurate diagnoses. There are risks of incorrect information or failing to grasp subtle nuances. Users should never take AI answers at face value and should consult doctors or family for important matters. The program also highlighted experts pointing out limits in situation understanding. For elderly users, ease of operation and choosing reliable sources are key.


Frequently Asked Questions (FAQ)

Q: Can AI truly understand a patient’s feelings?

AI generates empathetic responses based on pattern recognition but lacks the deep emotional understanding of humans. The program’s example showed surface-level consideration, but limitations exist.

Q: Is it common for terminal cancer patients to consult AI?

It is not yet common, but its 24/7 availability and anonymity are drawing attention. It may suit patients who wish to avoid burdening family.

Q: What should I do if the AI gives incorrect information?

Always verify with medical professionals or trusted sources. AI should be used as a supplementary tool; critical decisions must be made by humans.

Q: Which AI service was used in the program?

The specific service was not named, but a general large language model is assumed. Please refer to the NHK report for details.

Q: Is privacy protected when consulting AI?

Many services claim data protection, but review terms of service and avoid sharing highly confidential information.

Q: How will AI be used in end-of-life care in the future?

It is expected to serve as a listening and daily support tool, but collaboration with doctors will remain indispensable. Advances in technology will enable more natural conversations.


Related articles:

Summary

The case featured on NHK’s Close-up Gendai demonstrated AI’s potential as a consultation partner for terminal patients. The woman’s choice to consult AI out of consideration for her family, and the AI’s empathetic responses, were striking.

That said, AI has clear limitations and cannot replace human medical judgment or deep understanding. We recommend using AI as a convenient tool while combining it with reliable information sources. For more details, please visit the NHK official site (https://news.web.nhk/newsweb/na/na-k10015155721000).

krona23

Author

krona23

Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.

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