AI-Generated Video Misleads on Uttar Pradesh Healthcare Crisis

A video falsely depicting a healthcare crisis in India’s most populous state, Uttar Pradesh, has gained traction online. Despite the state’s ongoing challenges—such as corruption, inadequate facilities, and healthcare staff shortages—there are no verified reports of a patient falling from a moving ambulance. The video, shared widely on social media, is confirmed to be AI-generated.

The clip, which surfaced on December 10, 2025, shows a patient on a stretcher tumbling out of the back of an ambulance and rolling onto a highway. Accompanying text criticizes the ruling Bharatiya Janata Party (BJP), stating: “The Yamuna Expressway: See how active the BJP government is in addressing the needs of patients.” The video has sparked outrage among viewers, with some expressing their dismay at the apparent deterioration of healthcare in the state.

Uttar Pradesh’s healthcare system has been under scrutiny for years, plagued by reports of corruption and malpractice. Local news outlets have highlighted how overcrowded hospitals and inadequate facilities hinder patient care. Prime Minister Narendra Modi‘s BJP has pledged to improve healthcare services in Uttar Pradesh, focusing on disease control, maternal health, and medical education. Yet, opposition leader Akhilesh Yadav, from the Samajwadi Party, has accused the BJP of neglecting and mismanaging the state’s healthcare system.

Despite the serious issues facing healthcare in Uttar Pradesh, the viral video lacks authenticity. A reverse image search traced the clip back to a Facebook page named “Bargachhi Krishi Farm,” where it was posted on December 8, 2025. The page’s owner, Hemsagar Bhattarai, admitted to creating the video using AI tools to enhance engagement on his social media accounts. Bhattarai, a Nepali labourer based in Doha, stated that he aimed to generate extra income and entertainment by downloading content from Chinese social media platforms.

Analysis of the clip reveals several visual inconsistencies typical of AI-generated content. For instance, the patient’s oxygen mask appears unconnected to a tank, and the ambulance shows signs of being digitally altered, such as missing a door. Furthermore, the vehicles on the opposite side of the road display unusual shapes while others appear erratically throughout the footage.

To validate the video’s authenticity, AFP uploaded it to Hive Moderation’s AI video detector, which indicated a 95 percent probability that the content was either AI-generated or a deepfake. This is not the first instance of misleading AI-generated content being misrepresented as real events; AFP has previously debunked similar cases.

The shared video highlights the potential dangers of misinformation, especially in contexts as critical as public health. As the state grapples with real healthcare challenges, it is vital for the public to discern between verified information and fabricated content, particularly in the era of rapidly evolving technology.