Utilizing artificial intelligence to treat and forecast mental health illnesses is a focus of technological firms

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Last Updated on October 10, 2022 by Bitfinsider

The future of mental health management may rest in strings of code and prediction algorithms.

Holmusk, a provider of behavioral health technology, has partnered with Singaporean authorities to produce a suite of digital tools for hospitals and clinics.

The company intends to introduce “smart pills” to monitor when patients forget or skip their dose.

A biosensor the size of a grain of rice is embedded into the pill, and a sticky patch on the patient’s body can detect when the pill has been consumed. The United States has approved the technology.

“Let’s say schizophrenia and depression patients with psychosis – not taking their medication for a few days can send them over the edge. And if you knew that they skipped the medication for two consecutive days, you may intercede. Joydeep Sarkar, chief analytics officer of Holmusk, told CNA, “You can catch them early.”

He referred to the sensor as a “fascinating solution” that will interact with other pieces of the puzzle, including ensuring that the information is fed into the patient’s clinical records, identifying missing doses, and ensuring that any necessary intervention is incorporated into the workflow.

Additionally, the company has created an artificial intelligence (AI) model to analyze data from “notes-driven” mental health treatment or therapy.

In the future, this may enable researchers to gain a broader understanding of the efficacy of treatments and the course of diseases.

Predicting risks for mental health disorders

These data in areas like as medication and treatment could potentially be incorporated into predictive models to better comprehend the risks associated with each patient.

Mr. Sarkar remarked that difficult patients – for whom the answers are not readily apparent – are a significant application of artificial intelligence.

“Suppose you get a patient, stabilize them, and keep them in the hospital. When is it acceptable to let them go… What support methods could be implemented to prevent patients from deteriorating?”

Bipolar disorder, which has a substantial genetic component, is a disease that his company is focusing on.

The objective is to utilize data to identify and monitor persons at risk for acquiring the condition in order to detect the symptoms early.

Mr. Sarkar explained, “I call them the low-hanging fruit because you don’t need much; you simply need to link the data.”

Teaching people to help themselves

Other industry participants are exploring the use of artificial intelligence to assist individuals in managing their mental health.

Since its introduction in 2020, the mental health portal Intellect has garnered three million users worldwide.

“Mental health has long been a pressing concern in Asia and the rest of the world. This has not been supported. The chief executive officer of Intellect, Theodore Chew, stated, “Over the past two years, we have seen a significant increase in client service.”

Intellect’s app makes program recommendations based on user-reported moods and usage patterns. It also employs algorithms to link patients with therapists based on their requirements and areas of expertise.

Charis Liang, who is 24 years old, is one of the app’s users. The undergraduate, who previously interned at the company, utilizes the app when she is overwhelmed and in need of immediate assistance.

She remarked, “You can’t contact your therapist at 3 a.m., but you can do this.” Ms. Liang stated that the activities on the app, which are based on cognitive behavioral therapy, are comparable to those she completed during traditional therapy sessions, with the added convenience of being on-demand.


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