13 Examples of AI in Healthcare Industry

13 Examples of AI in healthcare industry. Artificial intelligence, which completes tasks that would often be handled by people in a fraction of the time and at a fraction of the cost, makes life easier for patients, doctors, and hospital managers.

AI is used in healthcare in a variety of ways, including discovering new connections between genetic codes, powering robots that assist surgeons during surgery, automating office procedures, customizing treatment plans, and much more.

With the ability to predict, analyze, learn, and act, AI is, to put it simply, rethinking and rejuvenating modern healthcare through devices.

tipfoodss.com have compiled some of the best uses of AI in healthcare, along with the firms that are setting the bar, to help you gain a deeper understanding of the quickly developing subject.

Examples of AI in Medical Diagnosis

Each year, 100,000 hospitalized patients sustain needless harm, and 400,000 of them pass away as a result. Given this, one of the most exciting uses of AI in the healthcare sector is the possibility of improving the diagnosing procedure.

Human errors that are lethal can be caused by heavy case loads and insufficient medical histories. AI can recognize and foresee disease more promptly than the majority of medical professionals since it is immune to these influences.

Here are 10 businesses that demonstrate how AI can lower errors and save lives.

Linus Health (AI in healthcare industry)

Location: Boston, Massachusetts

Linus Health is working to modernize brain health with their early-detection platform for cognitive exams. With the help of its proprietary assessment technology, DCTclock, which analyzes more than 50 metrics that reflect the patient’s cognitive function, the gold standard pencil-and-paper clock drawing test for the detection of early signs of cognitive impairment is digitalized.

Viz.ai (AI in healthcare industry)

Location: San Francisco, California

Viz.ai’s AI-powered healthcare solutions help care teams respond more quickly in the healthcare industry, where delays can mean the difference between life and death. The company’s AI technologies can immediately identify problems and alert care teams, allowing professionals to evaluate options and make treatment decisions that could save lives.

PathAI (AI in healthcare industry)

Location: Boston, Massachusetts

To help pathologists make more precise diagnoses, PathAI develops machine learning technology. The company’s current objectives include lowering cancer diagnosis inaccuracy and creating strategies for personalised medical care. To bring its AI technology to additional healthcare sectors, PathAI collaborated with companies like Bill & Melinda Gates Foundation and pharmaceutical companies like Bristol-Myers Squibb.

Regard (AI in healthcare industry)

Location: Los Angeles, California

Regard, a firm in the healthtech industry, employs AI to diagnose patients. As the “clinical co-pilot” of electronic medical records (EMRs), the company describes its automated technology. To make a diagnosis, the data from EMRs is combined. Additionally, detailed advice regarding patient care are given to healthcare professionals. Additionally, the system automatically updates patient records to lessen healthcare personnel’ burnout.

Buoy Health (AI in healthcare industry)

Location: Boston, Massachusetts

Buoy Health is an AI-based symptom and cure checker that uses algorithms to identify and treat sickness. It was created by a team from Harvard Medical School. A chatbot will first inquire a patient about their symptoms and health concerns before rendering a diagnosis and directing them to the best therapy.

Enlitic (AI in healthcare industry)

Location: Fort Collins, Colorado

In order to speed up radiology diagnosis, Enlitic creates deep learning medical tools. With the help of the company’s deep learning platform, doctors may gain a better understanding of a patient’s current needs by analyzing unstructured medical data such as radiological pictures, blood tests, EKGs, genomes, and patient medical history.

Freenome (AI in healthcare industry)

Location: San Francisco, California

AI is used by Freenome in cancer screenings, diagnostic procedures, and blood tests. Freenome seeks to find cancer in its earliest stages and then create novel treatments by implementing AI during routine checkups.

Beth Israel Deaconess Medical Center (AI in healthcare industry)

Location: Boston, Massachusetts

Beth Israel Deaconess Medical Center, a teaching hospital affiliated with Harvard University, employed AI to make early diagnoses of potentially fatal blood disorders. Doctors created AI-enhanced microscopes to scan blood samples more quickly than is possible with manual screening for dangerous pathogens like E. coli and staphylococcus. To teach the computers how to look for bacteria, the researchers used 25,000 photos of blood samples. Then, with 95% accuracy, the machines learned to recognize and forecast dangerous germs in blood.

Iterative Health (AI in healthcare industry)

Location: Cambridge, Massachusetts

In order to improve disease diagnosis and therapy, Iterative Health integrates AI with gastroenterology. The company’s AI Recruitment service automates the process of selecting people who are qualified to be potential candidates for clinical trials for inflammatory bowel disease. Additionally, Iterative Health creates SKOUT, a tool that employs AI to assist medical professionals in locating possibly malignant polyps.

VirtuSense (AI in healthcare industry)

Location: Peoria, Illinois

VirtuSense tracks a patient’s movements with AI sensors to alert carers and providers of impending falls. The company’s products include VST Balance, which uses AI and machine vision to assess a person’s risk of falling within the next year, and VSTAlert, which can anticipate when a patient wants to stand up and alert the necessary medical staff.

Caption Health (AI in healthcare industry)

Location: San Mateo, California

For early disease detection, Caption Health integrates AI and ultrasound technology. AI directs healthcare professionals during the ultrasound procedure in real time, resulting in diagnostic-quality images that the software subsequently aids in interpreting and evaluating.

Arterys (AI in healthcare industry)

Location: San Francisco, California

Products for precision medicine are made by Arterys. Its AI platform for medical imaging can be used to track lung nodules, diagnose brain tumors, find strokes, analyze cardiac MRI pictures, find breast cancer, read emergency room X-rays, and follow lung nodules.

Cleerly, Inc. (AI in healthcare industry)

Location: Fully Remote

AI technology is produced by Cleerly to enhance cardiovascular treatment. The development of plaque in the arteries of the heart is known as atherosclerosis, and the company’s AI-enabled digital care platform measures and analyzes this condition. The device can assess a person’s risk of suffering a heart attack and provide a customized treatment strategy.