AI is already revolutionizing healthcare for doctors, researchers and patients. The ability to diagnose using large amounts of data allows us to use AI for more accurate diagnosis. For example, in radiology AI tools analyze images from X-rays, MRI, and CT scans to identify illnesses such as cancer at much earlier stages.
Furthermore, AI is making work easier by reducing the use of papers, eliminating chances of making mistakes. From patient appointments, billing, data entry among other activities, AI relieves the time that healthcare providers can use to attend to patients.
AI affects drug discovery as well because treatments are now found more quickly than using the traditional means. This works in containing the expenses for creating new medicines. But we should know that AI’s position in healthcare is still evolving as the technology is still in the developmental stages.
Furthermore, AI is making work easier by reducing the use of papers, eliminating chances of making mistakes. From patient appointments, billing, data entry among other activities, AI relieves the time that healthcare providers can use to attend to patients.
AI affects drug discovery as well because treatments are now found more quickly than using the traditional means. This works in containing the expenses for creating new medicines. But we should know that AI’s position in healthcare is still evolving as the technology is still in the developmental stages.
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