How Artificial Intelligence Can Boost Healthcare

The power of artificial intelligence is being proved as more and more cases and applications are unearthed. The same is applicable in the healthcare sector. From chronic diseases to radiology, risk assessment, and real-time health monitoring healthcare professionals can leverage artificial intelligence in multiple ways.

AI offers numerous advantages. It can help in assessing multiple tiers of data and big data, providing insights into all situations. The World Medical Innovation Forum (WMIF) has already published many different ways in which artificial intelligence can be implemented in the industry. Let’s explore a few solutions that AI can provide the healthcare industry.

  • Brain-computer interface
  • Next-gen radiation tools
  • Care access
  • Electronic health recording
  • Risk analysis
  • Intelligent devices and machines

ALSO READ: Keys That Drive Healthcare Business

1.   Brain-Computer Interface

Computers and devices can be used to analyze the brain patterns and behaviors of patients. Artificial intelligence can provide the link to healthcare professionals to analyze the data and provide support accordingly. AI-enabled devices bridge the communication gap for people who are unable to express themselves, by decoding the neural activities in the brain. It can help patients with ALS, strokes, locked-in syndromes, or people with spinal cord injuries.

2.   Next-Gen Radiation Tools

Radiological images from MRI machines, CT scanners, and x-rays can be confusing at times. AI-enabled radiation tools can analyze such images and provide accurate analysis to doctors or clinicians. In some ways, AI can reduce the number of tests the patient has to undergo to determine the exact disease.

3.   Care Access

Shortage of trained healthcare providers can bring dire situations in undeveloped and inaccessible regions. AI devices can help to take over some of the tasks performed by such professionals. AI-enabled mobile apps can to an extent help in such cases, where the patient can do a remote diagnosis under the instructions of the healthcare personnel over the phone.

4.   Electronic Health Recorders

EHRs can replace the need to run to a hospital every so often. By leveraging artificial intelligence, EHR developers can develop apps that can record the patient’s conditions on a daily basis. The data can be analyzed based on medical algorithms and the app can provide the diagnosis results. By connecting to the clinicians or doctors over the app, the patient can get an accurate diagnosis.

5.   Risk Analysis

After a particular time period, the human body naturally creates antibiotic resistance to certain medicines. AI-enhanced EHR devices can identify infectious patterns and abnormalities the patient feels. A combination of machine learning and artificial intelligence can analyze the risks in such cases and make suggestions or changes in treatment.

6.   Intelligent Devices and Machines

Smart devices are gaining more popularity in today’s technology world. In the medical world, adding intelligence to medical devices can help both the physician and the patient at the same time. From simple monitoring devices to surgery equipment in the operating rooms, the AI can assist the whole procedure. AI reduces the cognitive burden on doctors and physicians, helping them to complete complicated processes easily.

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