The Applications, Function, and Significance of Artificial Intelligence in Medical Care


Steffan Addison

. 2 min read


The term "AI in healthcare" is more of a catch-all phrase that refers to the implementation of machine learning (ML) algorithms and other cognitive technologies in clinical environments. To put it in its most basic form, artificial intelligence (AI) occurs when computers and other machines imitate human cognition by being able to learn and think for themselves, as well as make choices and carry them out. One powerful application of AI in healthcare is through the integration of video chat capabilities. With the advancements in communication technology, healthcare providers can now leverage video chat to enhance patient care and consultation.

Five Examples of How Artificial Intelligence is Revolutionizing Healthcare

1. Accurate Cancer Diagnosis

Path AI is widely regarded as one of the most effective applications of machine learning and artificial intelligence in the medical field, enabling pathologists to provide more precise diagnoses. PathAI helps reduce the number of errors made during the process of diagnosing cancer and provides a wide variety of innovative approaches for personalized medical treatment.

2. Developing the Next Generation of Radiology

Radiological images obtained by MRI machines, CT scanners, and x-ray machines offer non-invasive visibility into the inner workings of the human body. These images can be obtained by scanning the body with various types of radiation. However, a large number of diagnostic procedures continue to rely on physical tissue samples obtained through biopsies. These samples come with a number of potential risks, including the possibility of infection.

3. Virtual Nurses

Molly is a digital nurse that was developed by the startup company Her purpose is to assist people in monitoring a patient's condition and following up with treatments in between visits to a physician. Patients suffering from chronic illnesses are given support through this program, which makes use of machine learning. In 2016, Boston Children's Hospital developed an app for Amazon Alexa that provides parents of sick children with basic health information and advice.

4. Administration of Medications

The AI Cure app was developed by the National Institutes of Health in order to track how frequently a patient takes their prescribed medications. When combined with AI, the webcam on a patient's smartphone can independently verify that they are following their doctor's orders and provide assistance in the management of their condition. People who have serious medical conditions, patients who have a tendency to ignore their doctor's advice, and people who are participating in clinical trials could be the most common users.

5. Detecting Fraud

The Department of Justice in the United States estimates that three percent of all claims made for medical care in the country are false. This translates into a loss of one hundred billion dollars every single year. By utilizing AI, the healthcare industry is able to identify fraudulent claims before they are paid for and contribute to the acceleration of the processing, approval, and payment of legitimate claims. Artificial intelligence not only uncovers fraudulent insurance claims, but it also stops data breaches involving patients.


One of the primary focuses of strategy for a growing number of businesses is the promotion of AI-based service offerings. Recent research has been motivated by the significant alterations brought about by AI in order to investigate the impacts and consequences of the technology as well as the implications of AI for performance.

  • Artificial intelligence technology, which may include algorithmic machine learning and autonomous decision-making, paves the way for new opportunities for ongoing innovation in a variety of industries.
  • Artificial intelligence can be implemented in the form of clinical decision support (CDS) to provide assistance with patient-specific diagnostic and treatment decisions and to carry out population-based risk prediction analytics.
  • AI is able to provide improved patient care, diagnosis, and interpretation of medical data.
  • A study demonstrates that the use of AI technology for breast cancer screening results in fewer mistakes made by human doctors.

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