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AI-Based Medical Diagnostic Tools Market Set to Exceed USD 11.5 Billion by 2034: Global Surge in AI Start-up Funding Expands Diagnostic Systems Integration | TMR
In addition to enhancing the efficiency of existing algorithms, this involves investigating new artificial intelligence approaches such as deep learning, reinforcement learning, and federated learning for medical applications.
AI-based diagnostic tools can empower patients by providing them with personalized health information. Smartphone apps and gadgets can help patients manage their health and well-being more actively.
Medical specialists and facilities are often limited in underserved or distant places, so AI-based diagnostics can be especially helpful. Through the use of portable diagnostic devices and telemedicine platforms, Artificial Intelligence can increase access to healthcare for communities that have limited access to healthcare.
Healthcare systems are expected to incorporate AI-based diagnostic technologies as they advance in sophistication and dependability. This integration may include seamless integration with clinical decision support systems and electronic health records (EHR) in order to speed up diagnosis for healthcare practitioners.
AI-based medical diagnostic tool companies are expanding their customer bases through inorganic expansion. Brain tumors can be accurately detected by AI-based tools developed by medical diagnostic companies.
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