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Elon Musk’s Grok AI Chatbot Diagnoses Fracture Missed by Doctors, Sparks Debate on AI in Healthcare

Written by : Jayati Dubey

January 14, 2025

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Source: X (Twitter)

Kay uploaded her daughter’s X-rays to Grok, which promptly identified a clear fracture line in the arm. Armed with this information, Kay sought a second opinion.

Elon Musk’s AI chatbot Grok, which has recently claimed to possess image analysis capabilities, is gaining attention for its potential in healthcare.

A remarkable incident shared by a woman, AJ Kay, on X (formerly Twitter) has fueled the conversation.

Kay detailed how Grok identified a fracture in her daughter’s arm that was initially missed by medical professionals during an urgent care visit.

The Incident: Missed Diagnosis at Urgent Care

Kay revealed that her daughter was in a severe car accident, leaving her arm badly injured and in extreme pain.

Suspecting a fracture, Kay rushed her daughter to an urgent care facility where doctors examined her, took X-rays, and concluded there were no fractures.

They sent her home with an ace wrap and ibuprofen. However, her daughter’s condition worsened. Her hand turned cold and tingly, and she struggled to move her thumb.

Further discomfort arose from bruised ribs and minor whiplash. Concerned about the initial assessment, Kay turned to Grok after learning of its ability to analyze medical images.

Grok’s Diagnosis Confirmed by Specialists

Later, Kay uploaded her daughter’s X-rays to Grok, which promptly identified a clear fracture line in the arm. Armed with this information, Kay sought a second opinion.

She visited a primary care physician, secured a referral to an orthopedic specialist, and had new X-rays taken.

The wrist specialist confirmed Grok’s findings: a distal radial head fracture with dorsal displacement. The timely diagnosis allowed her daughter to receive appropriate treatment.

Sparking Debate on AI’s Role in Medicine

Kay’s experience has ignited discussions about the role of AI in healthcare.

While she acknowledged her initial skepticism about large language models (LLMs) like Grok, she described the experience as “eye-opening.”

Her post included screenshots of her interaction with Grok, providing a detailed account of the incident.

Online reactions were mixed. Some criticized the urgent care facility for missing the diagnosis, citing potential issues with the quality of the X-ray equipment.

Others commended Kay for her quick thinking and resourcefulness in leveraging AI to aid her daughter’s care.

Broader Implications for AI in Healthcare

This case underscores the potential of AI tools like Grok to complement traditional medical diagnostics.

While AI cannot replace human expertise, such incidents demonstrate how it might act as a valuable second opinion, particularly in cases where human error or limitations in technology lead to missed diagnoses.

As AI tools become more sophisticated, their integration into healthcare could significantly enhance diagnostic accuracy and patient outcomes.

However, questions about reliability, regulatory oversight, and ethical implications remain key concerns for the broader adoption of AI in medical settings.

Stay tuned for more such updates on Digital Health News.


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