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Leveraging the clinician’s expertise with agentic AI
Title: Leveraging the Clinician's Expertise with Agentic AI
As healthcare professionals grapple with the digital transformation, artificial intelligence (AI) is fast becoming a must-have tool in delivering effective health management. Though AI still faces technical challenges, its potential in diagnosing, monitoring, and treating diseases is remarkable. A unique aspect of AI is its agentic feature, enhancing clinicians' expertise significantly.
Agentic AI represents the intellectual capacity of machines to perform tasks autonomously without constant human supervision. It can learn from experts and apply those learnings in its operations. This capability is changing the course of healthcare delivery worldwide. With such intelligence, clinicians can direct their focus on decision-making while tools handle routine, repetitive, or complex tasks.
The integrative aspect of agentic AI makes it a perfect ally for clinicians. One common use is its capacity to trawl and analyze vast volumes of data, improving disease management and prevention accurately. For example, AI can predict and assess the risk of certain diseases based on individual patient information, helping doctors to conduct targeted early interventions.
AI-driven imaging technology is another area where agentic AI is making waves. Agentic AI can analyze x-rays, CT scans, and MRIs much faster and with greater accuracy than most humans. This translates into speedier and more accurate diagnosis, heightening patient care.
Moreover, agentic AI is being used in drug development, helping to predict how a drug will interact with each patient. This is based on individual genetic makeup, medical history, and other crucial factors. It helps ensure that each patient receives the proper medication while reducing the risks of side effects or negative reactions.
While AI is transforming the healthcare sector, the integration of agentic AI has the potential to take it to a higher level. With all its benefits, effective training of AI systems is
Source: Artificial intelligence – MIT Technology Review, Link
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