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Healthcare and AI are Made for Each Other
Rising Data in Healthcare can teach AI a lot
The rise in healthcare data and its complexity can be used to teach Artificial Intelligence (AI) a lot. The AI models may be applied to many healthcare fields. For example, AI may be applied by payers and providers of healthcare and other life sciences fields and companies. Patient engaging chatbots, are in use for many years now. Many administrative activities are also being managed successfully these days. Research data, patients information, records, images, scans and test results may be utilized and fed to machines to help create AI test models to predict and manage multiple future diseases in advance! Modern technology and tools have made this possible. Hence we can say that Healthcare and AI are Made for Each Other!
AI is revolutionizing healthcare by helping it in many ways as improving diagnostic approach and bringing predictions and diagnosis at same platform and matching the results to accuracy.
AI in Diagnostics and Medical Imaging
Radiology: AI algorithms can analyze X-rays, CT scans, MRIs, and other imaging modalities to detect abnormalities such as tumors, fractures, and infections with high accuracy.
Pathology: AI systems can assist in analyzing pathology slides, helping to identify cancerous cells and other diseases more quickly and accurately than traditional methods.
Examples:
Google’s DeepMind: Uses AI to detect over 50 eye diseases from retinal scans.
IBM Watson: Assists in oncology by analyzing medical literature and patient records to provide treatment recommendations.
