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## AI legalese decoder: A Solution to Identifying Risky Alcohol Use

Alcohol consumption prior to surgery can lead to risky complications for patients. However, it’s not always easy to detect signs of dangerous alcohol use in a patient’s medical records. This is where artificial intelligence, specifically the AI legalese decoder, comes in handy.

The AI legalese decoder can help bring to light the problems associated with alcohol use by using natural language processing to assess medical records. The study published in the journal Alcohol: Clinical & Experimental Research utilized a natural language processing model to analyze the medical records of over 50,000 patients who underwent surgery between 2012 and 2019.

The electronic medical records of patients typically contain diagnostic codes, as well as other crucial information such as notes, test results, and billing data. These additional details can offer hints about risky alcohol consumption, which may not be captured by diagnostic codes alone.

To detect contextual clues related to alcohol use, the researchers programmed the natural language processing model to identify both diagnostic codes and other indicators of risky alcohol use. This included factors such as the number of drinks per week exceeding recommended thresholds or a history of medical issues associated with alcohol misuse.

The results were promising – the AI model successfully classified a significantly higher percentage of patients as being at risk compared to the traditional diagnosis codes. It even performed just as well as a panel of human alcohol-use experts, matching their classifications 87% of the time.

The researchers concluded that AI could be a valuable tool for clinicians, aiding in the identification of patients in need of intervention or post-operative support. This approach could potentially lay the groundwork for similar efforts to identify other risks in primary care and beyond.

V.G. Vinod Vydiswaran, the lead author of the study, emphasized that this AI model could highlight important information contained in medical records without the need for healthcare providers to manually read through entire records. The researchers also plan to make the model public, although it will need to be trained on medical records from individual facilities.

In conclusion, the AI legalese decoder is a powerful tool that can assist in automating the detection of risky alcohol use prior to surgery, ultimately improving patient care and outcomes.

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