Key Use Cases: Top Medical Treatments Leveraging Facial Recognition

Key Use Cases: Top Medical Treatments Leveraging Facial Recognition

Analytics Insight explores key use cases of top medical treatments with facial recognition

Facial recognition is a hot term in multiple industries across the world, especially in the retail and healthcare industries. The healthcare industry has started leveraging facial recognition for medical treatments of patients suffering from multiple diseases. Medical treatments with facial recognition have generated the use of next-gen technology to track and interpret the emotions of patients efficiently and effectively. Let's explore the use cases with facial recognition in medical treatments in 2021.

There are multiple use cases where medical treatments leverage facial recognition to disrupt the healthcare industry— emotion recognition, patient identification, computer-aided diagnostics, preventing the spread of COVID-19, and many more. This disruptive technology has gained its full momentum in the healthcare industry in these recent years to take utmost care of patients.

Key use cases of top medical treatments leveraging facial recognition

Diagnosis of diseases: The blend of artificial intelligence with facial monitoring can help in the diagnosis of diseases for medical treatments. It reaps the benefits of smart devices to analyze the specific patterns across enormous datasets to help doctors find the right disease for the right procedures of those patients. The faster the diagnosis, the faster the patients will be cured. There is multiple facial recognition software that helps to provide sufficient clues to the potential diagnosis of diseases.

Identifying patients before surgeries: Facial recognition can help to identify the physical characteristics of patients' faces before performing some critical surgeries. Burn or any kind of severe accident may change the structure of faces and it may get difficult for doctors to identify certain patients. It is one of the top use cases of medical treatments owing to its hands-free and usable from a distance features. It also helps to enhance patient compliance before going to the operation theatre.

Detecting rare genetic disorders: Medical treatments with facial recognition can be accurate by detecting rare genetic disorders efficiently and effectively. This cutting-edge technology can enable medical staff to upload an image of a patient with genetic disorders. It helps to detect any rare genetic disorder with around 130 landmarks by using artificial intelligence and machine learning algorithms for matching facial characteristics with disorders. The doctors can receive a list of potential diseases to identify the uncommon cases that are invisible to the human naked eyes.

Emotion detection: The healthcare industry has started leveraging facial recognition for medical treatments for the use of emotion detection. It helps doctors to identify multiple emotions that a patient is feeling or constantly going through that can help to select the accurate medical treatment for a better cure. The data stored in the facial recognition software can help to analyze and determine what exactly are they feeling and getting triggered. This technology helps doctors to provide more attention to patients who are in dire need of medical treatments.

Controlling pain medication post-surgery: This is one of the top use cases of facial recognition in the healthcare industry. Facial recognition technology can control the pain medication of a patient post-surgery. In this case, the technology is in sync with the patient to ensure the accurate amounts of pain medication are given to the patient at the right time. Facial recognition helps to read the facial gestures of the patient and reveal the time of the need for the pain medication.

That being said, there are several use cases of top medical treatments leveraging facial recognition technology in recent years. These are the few reasons why facial recognition is thriving in the healthcare industry for the welfare of patients across the world.

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