# The integration of artificial intelligence with social Media: opportunities, challenges, and pathways for resource optimization and doctor-patient relationship enhancement in healthcare

**Authors:** Hui Sun, Xiaowei Chen, Yi Yuan

PMC · DOI: 10.3389/fdgth.2026.1738784 · Frontiers in Digital Health · 2026-02-23

## TL;DR

AI and social media are changing healthcare by empowering patients and improving medical education, but misinformation remains a challenge requiring collaborative solutions.

## Contribution

The paper proposes a collaborative governance approach using platform certification, professional education, and AI filtering to optimize resources and enhance trust in healthcare.

## Key findings

- Short video platforms like TikTok and YouTube Shorts are overcoming traditional barriers in medical education.
- Sophisticated AI models may outperform physicians in specific diagnostic and communication tasks.
- Approximately 37% of medical social media posts contain misinformation, necessitating improved governance strategies.

## Abstract

The integration of social media platforms and artificial intelligence (AI) has transformed the patient's role from that of a passive recipient to an active participant in healthcare navigation. The advent of short video platforms (such as TikTok and YouTube Shorts) has eliminated many conventional limitations related to location and time in medical education. Recent research suggests that sophisticated AI models (e.g., GPT-4) might outperform physicians in specific measurable aspects, such as diagnostic accuracy in controlled settings or empathy demonstrated through written communication. Nevertheless, physicians continue to be essential for coordinating complex care, resolving intricate ethical dilemmas, and maintaining the integrity of the physician-patient relationship. Consequently, although human participation remains essential, the digital environment is affected by integrity concerns. It is estimated that approximately 37% of medical social media posts contain misinformation, although this rate varies considerably among different health categories. To effectively resolve these challenges, we advocate for a collaborative stakeholder approach to governance. Through the implementation of formal platform certification, ongoing education for healthcare professionals, and AI-enabled filtering of user-generated content, we can improve the efficiency of medical resource allocations such as minimizing unnecessary inquiries—while laying a solid foundation for a sustainable, trust-based relationship between physicians and patients.

## Full-text entities

- **Diseases:** diabetes (MESH:D003920), anxiety (MESH:D001007), hernia (MESH:D006547), COVID-19 (MESH:D000086382), communicable diseases (MESH:D003141), depressed (MESH:D003866)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12968211/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12968211/full.md

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Source: https://tomesphere.com/paper/PMC12968211