Artificial intelligence in Healthcare

Patients, physicians, and hospital managers’ life are made easier by artificial intelligence, which performs activities normally performed by people in a fraction of the time and at a fraction of the expense.

The AI sector, which was valued at over $600 million in 2014 and is expected to reach $150 billion by 2026, is one of the world’s fastest-growing sectors.

There is still much to overcome in order to accomplish AI-assisted health care: data privacy issues and fears of mismanaged treatment are two among many. However, there is enough promise and potential for governments, tech firms, and healthcare providers to be eager to invest in and test AI-powered tools and solutions. Here are some AI advancements in healthcare that seem to have the most promise!

1. Virtual nursing assistants

Virtual nursing assistants might save the healthcare sector $20 billion a year by communicating with patients and sending them to the most appropriate care environment.

Virtual nurses can answer inquiries, monitor patients, and give timely responses since they are available 24 hours a day, seven days a week. Most virtual nurse assistant apps currently allow for more frequent communication between patients and care providers between office visits, reducing the likelihood of hospital readmission or needless hospital visits. Some virtual nursing assistants can even do wellness checks using speech and artificial intelligence.

2. AI-powered radiology assistant

The AI-powered radiology assistant essentially provides radiologists with an AI-enabled helper that receives imaging images and analyzes them automatically for various clinical abnormalities. The results are forwarded to radiologists, who evaluate the assistant’s reports when establishing a diagnosis.

3. Enhanced workflow

The automation of administrative procedures is another way AI may influence healthcare. This is predicted to save the healthcare business $18 billion since machines may assist physicians, nurses, and other professionals to save time on chores.

Voice-to-text transcriptions, for example, might aid in the ordering of tests, the prescription of prescriptions, and the writing of chart notes. A collaboration between the Cleveland Clinic and IBM demonstrates how AI helps to support admin tasks.

The collaboration leverages IBM’s Watson to mine big data and assists clinicians in providing a more customized and efficient treatment experience. Watson can help doctors by analyzing thousands of medical documents using natural language processing.

The future of AI in healthcare

AI technologies can help human providers deliver speedier service, diagnose problems, and analyze data more effectively to spot trends. By doing so, AI and machine learning have the potential to alter not only healthcare but the lives of all patients.

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