2023
DOI: 10.1016/j.jsps.2023.101706
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Transformative potential of Artificial Intelligence in pharmacy practice

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Cited by 5 publications
(2 citation statements)
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“…By examining patients' demographics, medical histories, genetic information and current medication profiles, AI can identify individuals who might be more susceptible to polypharmacy. By utilising ML algorithms, we can examine sets of health data, such as health records, clinical trials and the medical literature, enabling us to identify patterns and make predictions regarding the probability of drug interactions or side effects [69].…”
Section: Predictive Analysismentioning
confidence: 99%
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“…By examining patients' demographics, medical histories, genetic information and current medication profiles, AI can identify individuals who might be more susceptible to polypharmacy. By utilising ML algorithms, we can examine sets of health data, such as health records, clinical trials and the medical literature, enabling us to identify patterns and make predictions regarding the probability of drug interactions or side effects [69].…”
Section: Predictive Analysismentioning
confidence: 99%
“…By analysing this wealth of information, AI algorithms can provide medication recommendations that consider factors such as effectiveness, safety and patient preferences. This comprehensive approach aids healthcare providers in making informed decisions, especially when it comes to managing medications in cases of polypharmacy [68,69].…”
mentioning
confidence: 99%