Artificial Intelligence (AI) is revolutionising healthcare by making treatments safer, smarter, and more personalised. One of its most significant benefits is the ability to reduce the side effects of medicines, a major concern for patients worldwide. From predicting how your body will respond to a drug to monitoring safety after it reaches the market, AI is transforming every stage of medical care.  This approach allows clinicians to determine optimal drug selection and dosage, thereby minimising toxicity and improving therapeutic outcomes. AI helps to identify the potential drug–drug interactions, especially in patients receiving multiple medications, reducing the risks associated with polypharmacy.

This approach enhances the AI drug discovery and development process by identifying harmful effects at early stages. Through advanced computational models and in-silico simulations, researchers can evaluate the safety profile of drug candidates before human trials, reducing both cost and risk. AI can also facilitate drug repurposing, identifying new therapeutic uses for existing medications with established safety profiles, thereby minimizing unforeseen adverse effects.

Moreover, AI strengthens pharmacovigilance systems by enabling real-time monitoring of drug safety in post-marketing phases. By processing electronic health records (EHRs), clinical databases, and even patient-reported data, machine learning algorithms can detect patterns and previously unrecognised side effects. This allows healthcare regulators and clinicians to respond more quickly to emerging safety concerns.

Real-World Example: International Anticholinergic Cognitive Burden Tool (IACT)

The International Anticholinergic Cognitive Burden Tool (IACT) is an AI-powered online platform designed to identify medications with anticholinergic effects using natural language processing (NLP) and chemical structure analysis. The tool assigns an anticholinergic burden score based on reported adverse events and drug structure, offering a more accurate evaluation than traditional methods, which helps clinicians to make safe prescribing decisions, reduce cognitive side effects, and manage polypharmacy risks. Artificial Intelligence is reshaping modern medicine by minimising risks and improving patient safety. From personalised treatment plans to real-time drug monitoring and intelligent tools like IACT, AI is helping reduce medication-related side effects more effectively than ever before.