artificial intelligence (AI) is transforming the landscape of medicine by leaps and bounds, opening a world of possibilities to improve healthcare, research and diagnosis. From medical image analysis to the development of new medications, AI is revolutionizing the way we approach health and well-being.
What are the devices used to implement AI in medicine?
Accurate and efficient diagnosis
Clinical Decision Support Systems (CDSS)
These systems are typically integrated into electronic health records (EHRs) and can analyze patient data, such as medical images, lab results, and medication records, to identify patterns and provide recommendations to physicians. Some examples include:
IBM Watson for Clinical Decision Support
This system uses AI to analyze patient data and provide recommendations for personalized diagnoses, treatments, and care plans.
Google Health
This platform offers a variety of AI tools to help doctors make clinical decisions more informed, such as the ‘DeepMind Health’ tool, which uses AI to analyze medical images and detect anomalies.
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What are the AI medical image analysis devices in medicine?
These devices use AI to analyze medical images such as X-rays, CT scans and MRIs, allowing for earlier and more accurate diagnosis of diseases. Some examples include:
Qure.ai
This platform uses AI to detect lung cancer in chest x-rays more accurately than human radiologists.
Viz.ai
This platform uses AI to detect strokes in brain CT scans faster than human radiologists.
What is robotic assistance in medical surgery like?
Surgical robots
These AI-controlled robots can perform minimally invasive surgeries with greater precision and dexterity than human surgeons. Some examples include:
Da Vinci Xi
This surgical robot from Intuitive Surgical is one of the most used in the world.
What are the main features of the Da Vinci Xi robot?
- Articulated robotic arms that are controlled from a remote console.
- High definition 3D view of the surgical field.
- Miniature instruments that allow more precise movements.