Browse Topic: Telemedicine

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The emergence of data-driven healthcare promises predictive and preventive care through enhanced data integration and analytics. This trend means that medical device companies must navigate challenges related to data privacy and operational efficiency while transitioning to a data-centric approach. Artificial intelligence (AI) is spearheading this shift toward hyper-personalized medicine, enabling precision treatments based on genetic profiles and predictive analytics for early disease detection. Advancements in telemedicine, AI, wearable technology, and data analytics, are reshaping how care is delivered, making it more accessible, personalized, and efficient in 2025.
The history of telemedicine goes back further than most people think. It has certainly blossomed in popularity in the last few years since the onset of the pandemic, but its beginnings date back to the 1950s.
Researchers at the NASA Johnson Space Center (JSC), in collaboration with General Motors and Oceaneering, have designed a state-of-the-art, highly dexterous, humanoid robot called Robonaut 2 (R2). R2 is made up of multiple component technologies and systems encompassing nearly 50 patented and patent-pending technologies with the potential to be game-changers in multiple industries, including the medical industry. R2 technologies can aid in a variety of medical applications, ranging from telemedicine to handling the logistics of medical procedures. These activities can be done in autonomous mode or in teleoperation mode, where the robot is controlled by a technician or physician. This type of operation would be advantageous in situations where a biomedical hazard poses risks to humans, such as a contagious outbreak or a combat situation. For more routine daily use, R2 could function as an assistant to the hospital staff.
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