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FREMONT, CA: Artificial intelligence (AI) is gaining popularity because it is capable of doing what humans do more efficiently and at a lower cost. Just like in other industries, AI-enabled tools are spreading in the healthcare industry too.

Following are the activities done with the help of AI-enabled algorithms and software:

Identifies postpartum depression:

Women's body and mind go through many changes during and after pregnancy. Most new moms experience postpartum "baby blues" after childbirth. This will make them feel empty, emotionless, or sad all or most of the time for longer than two weeks during or after pregnancy. In some instances, the depression lasts for a long time, creating an extreme mood disorder called postpartum psychosis. Most of the times, it is difficult for physicians to diagnose postpartum depression for several reasons. In other instances, women fail to discuss these issues. Finally, the responsibility of this lapse falls on the doctors. Apart from launching drugs to treat postpartum depression, healthcare marketers have turned natural language processing (NLP), a tactic that has proven increasingly useful. Data scientists and psychologists trained NLP model to spot certain words and phrases that could indicate a mood disorder. The NLP model was assigned to go through several public posts and flag potential signs of postpartum depression. The team launched awareness programs to spread awareness regarding the depression among new mothers.

Assist in locating ideal clinicians:

Many people find it challenging to identify ideal candidates for clinical trials.

AI-enabled tools can dig and collect data that can be used by the patients and healthcare providers alike for further reference.

Perform diverse tasks:

If AI performs tasks, it will help the healthcare industry to save billions. These technologies will help the nurses and the nurses, doctors, and marketers in several ways. It can also mine data and help physicians provide a personalized and more efficient treatment experience. Physicians can analyze many medical papers using natural language processing to inform treatment plans.

Aid clinical judgment:

Some AI algorithms can detect and diagnose many diseases such as skin cancer, cardiac arrest, etc. Even the algorithm analyzed what a person says, the tone of voice and background noise and detected cardiac arrests. It is expected that the AI revolution will reshape the healthcare system by predicting deadly disease like cancer and will ultimately prevent the death rate by 2033. The algorithms examine medical records, habits, and genetic information pooled from health charities, the NHS, and AI.

From early detection to improved diagnosis, AI is playing a significant role and bringing a shift in the healthcare industry. The new and advanced technology promises easy access, effectiveness, and affordability. Most of the organizations across a range of therapeutic categories are using tactics grouped under the AI umbrella — machine learning, natural language processing and the like — to significant effect.