Most Advanced Three AI Technology Categories in Healthcare?

What are the three AI technology categories in healthcare?

This question is becoming increasingly relevant as artificial intelligence (AI) continues to reshape the healthcare industry. So here is the way to go deeper into the sea of artificial intelligence in healthcare and define which three categories attract the most interest in the sphere of medicine.

The Three AI Technology Categories in Healthcare

1. Surgical-Assistant Robots
2. Modular Robots (Exoskeletons and Prosthetics)
3. Autonomous Mobile Robots

1: Surgical-Assistant Robots: Precision and Efficiency in the Operating Room

As already have done some surgeries by Advanced Robot in History, Robots used in surgeries have gained approval to act as assistant surgeons in operation theaters around the world. High-tech machines as described below offer surgeons improved precision, flexibility, and control in executing their work. And advanced robotic Surgery has many advantages also. The industry’s market leader is Intuitive Surgical, a producer of the renowned da Vinci Surgical System that can help perform operations with little physical invasion and great precision.

According to a report by Grand View Research, the global surgical robots market was valued at approximately $5.5 billion in 2021 and is expected to grow significantly in the coming years. (Source: Grand View Research)

These robots come equipped with advanced AI technology and enhanced vision systems, enabling surgeons to perform complex procedures through tiny incisions. The result? Reduced infection rates, shorter hospital stays, and faster recovery times for patients. It’s like having a superhero sidekick in the operating room!

2: Modular Robots (Exoskeletons and Prosthetics): Empowering Rehabilitation

Technological devices such as exoskeletons and prostheses are replacing conventional wheelchairs and are revolutionizing the rehabilitation of patients with mobility disorders. In particular, these devices employ artificial intelligence for decoding signals from the patient’s body and converting them into motion. This technology is particularly useful to stroke patients, traumatic brain injury patients, or other patients who have problems like multiple sclerosis.

One notable player in this field is Cyberdyne, a Japanese company that produces the HAL (Hybrid Assistive Limb) exoskeleton. This device helps patients regain movement by amplifying their neural signals. Imagine a real-life Iron Man suit but for medical purposes!

Exoskeletons are equipped with depth cameras and sensors, allowing for precise monitoring of patient progress. They provide real-time feedback, helping patients and therapists track recovery with remarkable accuracy. According to MarketsandMarkets, the global exoskeleton market is projected to reach $3.2 billion by 2025. (Source: Markets and Markets)

3: Autonomous Mobile Robots: Easing the Burden on Healthcare Workers

Autonomous mobile robots (AMRs) are designed to support healthcare workers by taking over repetitive and physically demanding tasks. These robots navigate healthcare facilities using sensors and cameras, making real-time decisions to safely move around the environment.

AMRs are used for various purposes, such as restocking supplies, transporting specimens, and disinfecting surfaces. For instance, UV light disinfection robots have become crucial in maintaining hygiene standards, especially during the COVID-19 pandemic.

By automating these tasks, AMRs free up healthcare professionals to focus on patient care. The global market for healthcare robotics was valued at $5.2 billion in 2020 and is expected to expand rapidly, according to ResearchAndMarkets. (Source: Research and Markets)

Conclusion: AI Technology and Robotics—The Future of Healthcare

So, what are the three AI technology categories in healthcare? Surgical-assistant robots, modular robots, and autonomous mobile robots are leading the charge in transforming the medical field. But these technologies do not even just increase precision and efficiency, the overall result of these technologies is better patient outcomes across the board and a lighter workload on the health care providers.

Even with the present advances in AI technology, there is still greater potential for new and highly effective approaches to materialize in the health sector. The future of medicine seems to be very auspicious and promising where the job of artificial intelligence and robotics will be path-breaking.

In the present discussion, therefore, it will be right to conclude that incorporation of the new technology in the healthcare sector is not merely a trend – it is a revolution! With the adoption of these technologies, the healthcare industry can reach high levels of advancements that can greatly change patient care for the better across the globe.