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We have enjoyed the power of technology in the past few decades, and we saw it progress. From the gadgets that we use daily to make our life more convenient to the medical field and healthcare, we have been enjoying the technology of artificial intelligence to make things easier.

AI in healthcare benefits both medical practitioners and patients alike. Lets dive in on how were using this and how we can use it in the future.

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The future of healthcare is here as we are using artificial intelligence in diagnostics and treatment. It could only mean that we can expect the advancements in technology in this field to rise further and faster.

Here are some examples of how we apply artificial intelligence in healthcare:

Medical practitioners use AI in healthcare from the smallest scale to the biggest and most crucial ones, such as dealing with high-risk diseases. On a small scale, patients use telehealth thru computers and mobile devices.

There are telehealth tools used for documentation, recording metrics, and process of information. These are commonly used from home.

Especially in times like these, going out of your home can be a threat because of the pandemic. Telemedicine is one of the best options, especially for those who need immediate care.

Doctors and physicians use AI on patients to detect early signs of stroke, cancer, neurological, or cardiovascular disorders by recording algorithms. This way, the computer can see the trends and activity of a persons organs to catch and cure a potential disease before it can pose a threat.

IBM recently partnered with Pfizer to develop an AI machine that can detect the early onset of Alzheimers disease in a person. The test evaluates cognitive impairment in various neurological disorders, including stroke and Alzheimers disease.

In addition to helping with diagnosis and prevention, AI can also be used by physicians as their assistants when dealing with patients.

A study revealed that physicians spend almost half of their work time dealing with data in Electronic Health Records (EHR). Primary care physicians can focus on dealing with the patients more since computers can now take notes for them, analyze discussions with the patients, and enter the necessary information into the EHRs.

In addition to this, science now uses voice recognition and speech dictation to make clinical tasks possible through natural language processing. It is a process where the computer catches the commands given by a person and converts that into data.

In relationship with the use of EHR, AI can help treat patients through personalized medicine. With all the records stored in the computer, the computer can identify large quantities of data to identify treatment options instantly based on a patients background.

The precise and quick process of drug development and clinical trials are now possible because of AI.

Computers and artificial intelligence can help clinicians work efficiently and lead to more precise diagnoses at the clinical level.

Valence Discovery recently used machine learning and artificial intelligence in their healthcare institution for molecular property prediction and multiparameter optimization for preclinical drug discovery to Charles Rivers patients.

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Wearable technology like smartwatches or even smartphones can detect oxygen levels, heart rate, and even violent falls.

These devices can even directly call emergency if it reaches critical level making these smart devices a reliable way to prevent serious conditions.

Most useful to dermatologists or ophthalmologists, using a smartphone to take selfies for diagnostic is being used to treat and examine patients, especially in this day and age.

With the popularity of phone-in check-ups during this pandemic, using this technology for clinical improvements and diagnosis can be considered a step-up for healthcare using technology.

Inserting smart device capabilities on hospital machines and devices can help doctors detect an early sign of a patients critical condition through algorithms and patterns.

When were talking about integrating disparate data from across the healthcare system, integrating it, and generating an alert that would alert an ICU doctor to intervene early on the aggregation of that data is not something that a human can do very well, Executive Director of the MGH & BWH Center for Clinical Data Science Mark Michalski, MD said in an interview.

How can technology help a person deal with pain, you ask? Artificial intelligence combined with virtual reality is being used as pain management tools by some companies.

Clinics and hospitals can create simulated realities to distract patients from their pain and even an opioid crisis.

Johnson & Johnson Reality Program is the first company to do this and is expected to become a trend and be used by other clinics or hospitals.

As a prediction by medical experts, obtaining tissues and other radiology tools will be improved through AI.

If non-invasive tools like x-rays, MRI machines, and CT scans are for internal visibility of the body, and biopsies are created to collect tissue samples from organs, the future, with the development of using AI technology, can do these things without being invasive or cause any harm from patients.

We want to bring together the diagnostic imaging team with the surgeon or interventional radiologist and the pathologist, MD Brigham & Womens Hospital Director of Image-Guided Neurosurgery Alexandra Golby said in an interview. That coming together of different teams and aligning goals is a big challenge.

If we want the imaging to give us information that we presently get from tissue samples, then were going to have to be able to achieve very close registration so that the ground truth for any given pixel is known.

Technology and artificial intelligence in healthcare have been very vital in its progress. It has been a major help with drug discovery and the recognition of diseases.

As researchers continue to discover new technology, the medical field, doctors, and patients will benefit from its advancements.

Read more:
Artificial Intelligence In Healthcare And How It's Transforming The Industry - BioSpace