Palm Reading Photo Tool Can Detect Rare Hormone Disorder
While palm reading may not predict your future, a new study has found that a simple photo of the back of your hand could potentially reveal crucial information about your health. Researchers have developed an AI model that can detect acromegaly, a rare and deadly hormone disorder that is often difficult to diagnose.
Acromegaly is a condition where the body produces too much growth hormone, typically manifesting around middle age with symptoms like enlarged hands and feet. If left untreated, it can lead to life-threatening complications and reduce life expectancy by about a decade.
According to Kobe University endocrinologist Hidenori Fukuoka, the slow progression of acromegaly and its rarity often result in delays of up to a decade in diagnosis. Traditional diagnostic methods have limitations, prompting researchers to explore the use of AI tools and hand photos for early detection.
The study involved 725 participants, half of whom had acromegaly, from 15 medical facilities in Japan. Over 11,000 images of their hands were used to train and validate the AI model. The photos focused on the back of the hand and a clenched fist to maintain anonymity.
The AI model demonstrated high accuracy in identifying patients with acromegaly, outperforming human specialists in endocrinology. With a positive predictive value of 0.88 and a negative predictive value of 0.93, the model showed promise in detecting the condition using hand photos alone.
While AI tools like this can aid in early diagnosis, they are not meant to replace human specialists. Acromegaly diagnosis involves a comprehensive assessment that considers various factors beyond visual cues.
The researchers aim to further validate the model on larger and more diverse populations and explore its potential application in detecting other hand-related conditions. By leveraging AI technology, they hope to enhance disease screening processes and connect individuals with suspected disorders to appropriate specialists.
The study, published in The Journal of Clinical Endocrinology and Metabolism, underscores the potential of utilizing innovative tools in healthcare to improve diagnostic accuracy and ensure equitable delivery of medical services.
Related: Medical Chatbots Are Coming. Here’s What You Need to Know Before Using One.
