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AI-Powered Chatbots for Patient Support
AI-Powered Chatbots for Patient Support
In the area of predictive and prescriptive medicine, significant advances are being made through AI-driven risk assessments, health monitoring and the availability of rich machine learning data to support the diagnosis and treatment prescription for any patient. AI is assisting doctors and surgeons before, during and after the interaction with patients. AI is also encouraging many young career aspirants to choose healthcare because of the amount of support they can get from technology. It is also providing hospital administrators, nurses, paramedical staff and doctors a learning environment that gives them cutting-edge skills and understanding of diseases and treatment.
Improvement of the health ecosystems in communities and countries could well be the long-term boon that AI bestows on society. Medical research speed and quality enabled by large-scale processing of data through disease-specific LLMs and accelerated clinical trials will lead to faster drug discovery and AI-facilitated collaborations between large and small medical research facilities and research establishments and pharmaceutical boutiques and giants. Ganesh had a discussion with the global chief of one of the world’s largest technology firms at a CEO dinner in South India.
The American CEO was celebrating the installation of what was then the most significant AI computing environment in an Indian medical and research facility, and when Ganesh mentioned his daughter was a research head at one of the largest such facilities in North America, he was told that the facility there had seen the first installation of the same AI environment. Messaging with his daughter during the dinner, Ganesh told the CEO that she had not seen much value from the installation, and he received a quick counter: ‘That’s the exact point of AI. It taps into the brains of top-notch brains like your daughter and helps lesser trained researchers and practitioners in other parts of the world to learn and adopt the same principles.’ Sales pitch or reality? Only AI can tell!
In the United States of America, the use of IBM Watson Health systems, Microsoft Health Bots, Google’s DeepMind Health and Amazon’s Comprehend Medical solutions are omnipresent, and institutions like Mayo Clinic, Stanford Health and the Memorial Sloan Kettering Cancer Center have been exemplars in using AI solutions. From an environment where a major proportion of healthcare information has been unstructured to the use of AI in a majority of healthcare organisations and widespread use of AI for diagnostics and treatment, there is no doubt that enhanced use of AI will improve transparency, reduce healthcare costs, greatly reduce errors and improve the quality of patient care.
练习题
According to the source material, which use of AI most directly supports predictive and prescriptive medicine for individual patients?
Which statement best captures how AI supports healthcare professionals across patient care?
Which of the following outcomes of AI in healthcare are supported by the source material? Select all that apply.
The source suggests that AI may help attract young career aspirants into healthcare by offering technological support and skill development opportunities.
The text argues that the main value of advanced AI installations in research facilities is only to benefit already top-trained researchers, not others.
According to the source, enhanced use of AI in healthcare is expected to improve transparency, reduce costs, reduce errors, and improve patient care quality.
The passage says that disease-specific LLMs and accelerated clinical trials can lead to faster ___ discovery.
How does the source describe AI as helping both frontline healthcare and the broader health ecosystem? Answer in - sentences.
Which pairing of AI platform and healthcare institution is most consistent with examples given in the source?
Explain how this section's view of AI in healthcare connects with the earlier idea that AI can enhance managerial decision-making. Answer in - sentences.
Which option best explains how AI-powered chatbots can help healthcare systems facing growing demand from ageing populations while still supporting preventive and prescriptive care?
Which statements are consistent with the passage's view of how AI improves healthcare organisations and research? Select all that apply.
Because AI can process large amounts of healthcare information and support diagnosis, treatment, and research, it may also help relieve pressure on overstretched healthcare systems.
The passage suggests that AI can turn expertise from highly trained researchers into a wider learning resource, helping less experienced practitioners learn the same ___.
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