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For countless decades, the main actors in medical practice have been well-known case histories, only on paper. However, over the years, renewal processes have become digital records and, perhaps through artificial intelligence (AI), have been further developed.
AI can achieve “an increase in the percentage of medical actions by identifyingin a flexible way, pharmacological targets for various diseases that are currently incurable,” commented Infobae, focusing on the book “Digital Transition: How the Digital World is Changing Medical Practice.”
From my side, “some examples include accelerating the digitization of medicine with the introduction of electronic records and telemedicine.; faster and more accurate diagnosis by evaluating large volumes of patient data (…),” said STAT Technology correspondent Casey Ross.
And also “(…) in comparison with known models of diseases, the identification of pharmacological targets for diseases that do not yet have adequate treatment, and changes in the culture of healthcare, with more efficient and effective work of doctors and nursing staff” .
Progress thanks to artificial intelligence
STAT Health Technology Correspondent Cathy Palmer commented that advances could be further optimized.
The mentioned specialist postulated some problems after a dialogue with the researcher Erkin Otlesh, responsible for the publication of the work in Cell Reports Medicine, which he called “Teaching artificial intelligence as a set of fundamental tools of medicine.”
So, “some of them are directly related to the technology itself, but others are closely related to human behavior.such as improving data collection so that AI can make accurate and reliable decisions, or reducing bias by obtaining information and data that is representative of the general population,” the expert said.
Explanation to patients
They mentioned the importance of explaining these processes to patients and physicians respectively in order to understand “how decision-making is based on this technology, in addition to popularizing the teaching of AI in medical schools to avoid knowledge gaps that can lead to erroneous algorithms and biased decision support systems.”
Faced with this, “it is extremely important to ensure that physicians are prepared to use it effectively and ethically,” the post reads.
