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AI and healthcare have enormous promise for dramatic future advances in patient care, medical research, and healthcare systems. These are some significant topics that demonstrate AI's hopeful future in healthcare
1. Machine learning for medical diagnosis: Machine learning algorithms may be taught on massive medical pictures, text, and other data to detect patterns people might miss. This can increase medical diagnosis accuracy, particularly for complicated disorders. Google AI, for example, has created a machine learning system capable of detecting diabetic retinopathy, a primary cause of blindness, with 90% accuracy.
2. Natural language processing for clinical decision support: Natural language processing (NLP) may identify possible issues and support clinical decisions by analyzing patient records, electronic health records (EHRs), and other medical data. NLP can, for example, be used to identify people at risk of acquiring sepsis or other problems.
3. Robotics for surgery and other procedures: In healthcare, robots are rapidly being employed for functions such as surgery, medicine distribution, and rehabilitation. Robots can be utilized to execute delicate treatments with more accuracy than humans and to access parts of the body that people would find difficult or unsafe to access.
4. Virtual and augmented reality for patient care: VR and AR are utilized in healthcare to provide immersive training experiences for healthcare workers, assist patients with rehabilitation, and develop more engaging and informative patient education materials.
5. AI-powered drug discovery: Artificial intelligence is being utilized to speed up drug development by finding novel drug targets, creating new medications, and forecasting therapeutic efficacy and safety. For example, Insilico Medicine's AI-powered drug discovery platform has been used to uncover novel therapeutic targets for cancer and other disorders.
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