🏥 Improving Surgeries With AI and Robotics

Today's Highlights

  • How AI and Robots are making surgeries better for the surgeon and patient
  • This Week On BuzzBelow - a recap on this week's topics
  • In Other News - a few interesting developments we're tracking

AI and Robotics have changed healthcare by helping to increase the efficiency and accuracy of surgery for patients. Robotics and AI have been delivering advances that improve surgical skills and change patient outcomes, from straightforward activities to intricate surgical operations.

The first robotic surgery took place in the 1980s. The primary goal was to improve surgeon's capacity and surgical accuracy. Today's surgeries, including cardiac, urology, and orthopedic procedures, all benefit from the assistance of robots. Here are some ways AI enhances robotic surgery:

  • Training: Artificial intelligence (AI) and virtual reality (VR) can imitate operations for educational reasons, giving aspiring surgeons a close-to-real experience.
  • Real-time assistance: While doing the surgery, certain AI systems can direct the surgeons by providing real-time insights based on the data it analyzes.
  • Imaging: With the use of AI-enhanced imaging technologies, surgeons can make diagnoses and perform procedures with more precision. Pathologists have even decreased their error-rate of recognizing cancer-positive lymph nodes from 3.4% to 0.5%.

One of the most used robot surgical systems is the Da Vinci Surgical System. The system is used in minimally invasive surgeries, and its robot arms are controlled by a surgeon while seated at a computer console. Even though this system was released in 2000, it is still used in 3 out of 4 prostate cancer surgeries in the US.

An innovative step toward the future of medical operations is the use of robotics and AI in surgery. With the current medical robotics market worth $4.7 billion and it is expected to grow another 11% by 2030, surgical procedures will undoubtedly grow more specialized, precise, and patient-focused as technology develops and merges with the medical industry. The difficulty is striking a balance between the essential human touch and knowledge that are at the core of healthcare and technology improvements.


This Week on BuzzBelow

🆘 AI in Emergency Response is Enhancing Public Safety
AI turbocharges emergency response in public service through the use of predictive analysis, chatbot support, image analysis and more.

In Other News

Adding Caccioppoli-type estimates in Machine Learning part2
A global fractional Caccioppoli-type estimate for solutions to nonlinear elliptic problems with measure data(arXiv)
IBM Unveils New Generative AI Models, Features: Here’s What to Know About ‘Granite’
The recently released IBM Granite series models are similar to OpenAI’s GPT-4 and ChatGPT
Pinterest Is Using AI to Stop Prioritization of Thin White Bodies
The social media platform trained its new machine-learning algorithm on approximately 5 billion photos of people with different body types and skin tones.