AI guides care of slow-healing wounds

Industry researchers have used machine learning to predict healing times for wounds based in part on patient data stored in electronic health records.

The team suggests its model can help clinicians make optimal decisions for treating slow-to-heal abrasions, lacerations and so on by knowing which new and preexisting patient traits are most likely to influence outcomes.

The study was conducted by staff members of Net Health, a supplier of software and analytics services, and is current in Advances in Wound Care.

The team trained AI prediction models on data from more than 1.2 million wounds … read more

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