From faster diagnoses to robot-assisted surgeries, the adoption of AI in healthcare is advancing medical treatment and patient experiences.
Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.
One of the world’s highest-growth industries, AI sector funding was up by 108 percent in 2021, with healthcare accounting for about a fifth of overall funding, according to CB Insights.
Impacts of AI in Healthcare
Artificial intelligence is used in healthcare to discover links between genetic codes, power surgical robots and maximize hospital efficiency.
Whether it’s used to find new links between genetic codes or to drive surgery-assisting robots, AI is reinventing — and reinvigorating — modern healthcare through machines that can predict, comprehend, learn and act.
How AI Is Boosting Drug Discovery
The drug development industry is bogged down by skyrocketing development costs and research that takes thousands of human hours. According to research, putting each drug through clinical trials costs an estimated average of $1.3 billion, and only 10% of those drugs are successfully brought to market.
Due to breakthroughs in technology, biopharmaceutical companies are quickly taking notice of the efficiency, accuracy and knowledge AI can provide.
Here are six companies that rely on AI to develop the next wave of medicines.
How AI Is Transforming Patient Experience
In the healthcare industry, time is money. Efficiently providing a seamless patient experience allows hospitals, clinics and physicians to treat more patients on a daily basis.
U.S. hospitals admitted more than 33 million patients in 2020, each with different ailments, insurance coverage and conditions that factor into providing service. Studies show hospitals whose patients have positive experiences have higher profits, while negative reviews can lead to financial losses.
New innovations in AI healthcare technology are streamlining the patient experience, helping hospital staff process millions, if not billions of data points, faster and more efficiently.
How AI Is Optimizing Healthcare Data Management
Healthcare is widely considered one of the next big data frontiers to tame. Highly valuable information can sometimes get lost among the forest of trillions of data points. Additionally, the inability to connect important data points slows the development of new drugs, preventative medicine and proper diagnosis.
Many in healthcare are turning to AI as a way to stop the data hemorrhaging. The technology breaks down data silos and connects in minutes information that used to take years to process. A 2021 survey found 99 percent of healthcare leaders who planned to use AI expected to see savings.
Here are seven examples of AI companies helping the healthcare industry stay afloat in an ocean of data.
We’ve rounded up 12 examples of how AI is helping healthcare facilities better manage patient flow.
How AI Is Enhancing Robotic Surgery
Popularity in robot-assisted surgery is skyrocketing. Hospitals are using robots to help with everything from minimally invasive procedures to open heart surgery. According to the Mayo Clinic, robots help doctors perform complex procedures with a precision, flexibility and control that goes beyond human capabilities.
Robots equipped with cameras, mechanical arms and surgical instruments augment the experience, skill and knowledge of doctors to create a new kind of surgery. Surgeons control the mechanical arms while seated at a computer console while the robot gives the doctor a three dimensional, magnified view of the surgical site that surgeons could not get from relying on their eyes alone. The surgeon then leads other team members who work closely with the robot through the entire operation.
Robot-assisted surgeries have led to fewer surgery-related complications, less pain and a quicker recovery time. Take a look at six examples of how robots are shaping the future of surgery.