New Study Shows ChatGPT is Poor at Diagnosing Childhood Illness, OpenAI AI Fails 83% of the Time
Many are aware that ChatGPT is not trustworthy when it comes to our health. A recent study confirmed that the famous OpenAI chatbot is particularly bad at diagnosing childhood illnesses, failing more than 80% of the time.
Pediatricians can’t rely on ChatGPT to diagnose children
The researchers emphasize that the diagnosis of children is challenging. In addition to considering all symptoms, doctors must also consider the impact of age on them, a factor that ChatGPT seems to overlook. Known relationships between various conditions are difficult for the chatbot to detect, and it fails to recognize important connections that an experienced doctor might.
For example, ChatGPT was unable to make the connection between autism and scurvy (vitamin C deficiency). This demonstrates the limitations of the chatbot in understanding the complex and interconnected nature of medical conditions in children, making it an unreliable tool for pediatric diagnoses.
The World Health Organization (WHO) has also cautioned against the use of artificial intelligence tools like ChatGPT in the medical field, warning that the data used to train these systems could be biased and lead to misleading information that could harm patients.
ChatGPT’s Inadequacy in Medical Use
In addition to its failure in diagnosing childhood illnesses, a study from Long Island University in New York has also shown that ChatGPT is ineffective in resolving drug-related inquiries, failing 75% of the time. These findings highlight the limitations of relying on artificial intelligence in medical contexts.
While the chatbot may have potential in managing tasks and providing instructions to patients, it is clear that ChatGPT is not yet ready for use as a diagnostic tool for children or adults. However, the team at Cohen Children’s Medical Center remains optimistic that more selective training could improve its results in the future.
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