Assignment task:
AI has been a hot topic and has captured a considerable amount of attention due to the recent advancements and implementation of this type of technology. When it comes to healthcare, AI is already actively being used in this industry on a smaller level, but there are various factors that prevent large-scale automation which we will further explore. As of today, AI is primarily utilized to increase speed and accuracy in the healthcare realm. Some of the current uses of AI in this field include: Diagnosing Patients: AI algorithms analyze medical imaging data, such as X-rays, MRIs, and CT scans, to assist healthcare professionals in accurate and swift diagnoses. Transcribing Medical Documents: Automatic Speech Recognition (ASR) technology employs advanced algorithms and machine learning models to convert spoken language into written text, providing a more efficient and accurate method for documenting medical information. Drug Discovery and Development: AI accelerates the drug discovery process by analyzing vast datasets to identify potential drug candidates and predict their efficacy. Administrative Efficiency: AI streamlines administrative tasks, such as billing and scheduling, reducing paperwork and improving overall operational efficiency within healthcare organizations. Each of these uses are done through different AI technologies, as "AI is not one technology, but rather a collection of them" (NCBI). Want Online Help?