Implementing AI in Medical Care

“Artificial intelligence” (AI) is a broad term that refers to technology that enables robots and computers to mimic human intellect  in the certain professions, notably medicine, will be impacted by this environment. AI technology is advancing at a breakneck pace and is transforming the realm of medicine particularly during covid-19 pandemic. Modern medicine generally takes a futuristic view of the identified difficulties. The futuristic tendency increases the appeal of AI applications in medicine, which look to be becoming more integrated into healthcare.

Some valuable suggestions are pointed out for your reference towards the influence of Artificial Intelligence.


The transformation has accelerated with the latest pandemic, and the need for a change in medical education and healthcare service delivery has emerged more profoundly. But the students are not aware of the importance of Artificial Intelligence and so they are inadequate and ignorant. It is advised that influences of AI on medicine and the profession, as well as their opinions on the topics that should be integrated into the medical curriculum. Therefore, our medical education contributes to needs assessment studies that are important for curriculum development and defining learning outcomes.


Artificial intelligence (AI) is already impacting many facets of American life.. The explosion of information available to inform the work of health professionals exceeds each individual’s capacity to process it effectively. Learning to wield collective knowledge to augment their own personal abilities will distinguish the health provider of the future from the health provider of the past. AI will guide enable this evolution by supplementing—not supplanting—the savvy provider. All health professions have an opportunity to leverage AI tools to optimize the care of patients and populations.


AI has main capacity to evolve when compare to other technologies.AI tools are rules-based, programmed to complete a specific task. But an advantage of AI is the ability to train a tool via exposure to a large dataset, allowing AI to identify within the data its own method to complete a task. Currently, many such data-based tools are locked at the point of application; using past data, they apply a formula to categorize new data. But some are set to learn continuously: as the tool is exposed to more and more data, it may modify how it addresses the task. The ability for adaptive learning is simultaneously the wonder and threat of AI. Analogous to a surgical instrument morphing in the surgeon’s hand as they wield it, continuous AI tools require vigilance from health professionals in critically appraising their outputs and performance.


The rise of AI tools thus has implications for existing health professions training, reminding of the need to acknowledge human fallibility in areas such as clinical reasoning and evidence-based medicine. Currently, much of AI development is shaped by economic drivers and corporate interests; health providers must be informed to serve as advocates for the needs of patients and communities. All health providers need foundational understanding of AI in order to maximize the promise and mitigate the peril.


AI has the potential to change medicine through its ability to augment clinical decision-making by detecting subtle patterns in vast amounts of patient data, and do so tirelessly for 24 hours a day. The potential benefits of AI in healthcare lie within process optimization, time-efficiency, cost-efficiency, and enhanced patient-centeredness, patient safety, and quality of care.

Hope this blog would encourage the medical students to update the innovation strategies in medicine field through Artificial Intelligence.

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