Founding Partner & CEO @ Tallium, helping companies bring their business ideas to life through technical excellence. Connect on LinkedIn. Read Oleksandr Mykolaienko's full executive profile here.
in many healthcare processes. Technologies like machine learning, deep learning or natural language processing can assist in diagnosing patients, transcribing medical documents, helping in new drug discovery as well as enhancing administrative efficiency.
To get started, clearly define your"why." What problem are you trying to solve with AI? This will guide your development process and unlock the potential of AI for your business. Once you understand"why" to integrate AI, here are a few tips that can make AI integration easier and more effective:Begin by meticulously listing all your product's functionalities. This includes both user-facing features and behind-the-scenes operations .
For example, NLP can be used to analyze unstructured data from electronic health records , social networks and scientific literature, transforming it into machine-readable formats. This can help improve efficiency, provide unbiased outcomes of clinical trials and drug development and expedite clinical decision-making.Building a strong foundation for data governance is crucial for successful AI integration.
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