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  Human healthcare is one field in which Artificial Intelligence is driving far-reaching transformation. We have had AI tools in healthcare for years. But the increased interest in the technology in recent times has spurred rapid development of even more solutions of this kind. Doctors, nurses, patients, managers, researchers, and other stakeholders in healthcare are benefiting from these innovations.
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In this article, we’ll explore some of the segments of healthcare in which AI is being applied, and refer to several tools in this category that are more widely used in each area. Here they are:

Medical Imaging and Diagnostics 

Certain AI tools are specifically built to aid the speed and accuracy of interpreting medical images such as X-ray, CT, and MRI scans. Examples are Aidoc, which analyses CT scans for abnormalities like haemorrhages and pulmonary embolisms; and Zebra Medical Vision, regularly used to quickly detect cardiovascular disease, lung issues, or fractures. And there’s Google DeepMind, favoured by some for spotting eye disease and even predicting its progression.

Drug Discovery and Development

If you’ve followed drug research closely in the past couple of years, you’ll know that AI is helping to cut the time required to identify viable drug compositions. This opens up the prospect for groundbreaking discoveries and treatments. Insilico Medicine belongs in this category; it is currently used to generate drug molecule models and identify targets for them. A second name is BenevolentAI, which pinpoints novel disease targets and repurposes existing drugs.

Personalized Medicine

Sometimes, our minds and bodies react very differently to the same drug. This is usually because we aren’t “built” the same; genetic variation may determine our receptivity or responsiveness to medical interventions. Given this fact, AI tools that tailor treatments to suit each specific patient are a widely appreciated innovation. Tempus is deployed for the personalisation of cancer care, and PathAI improves diagnostics for personalised treatment plans.
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Virtual Health Assistants and Chatbots

Automated chatbots trained on large healthcare-related datasets can support individuals with useful information about their health conditions. In Nigeria, AwaDoc—a WhatsApp-based health assistant –is designed to provide quick and reliable answers to users’ healthcare-related questions. MDoc, another local platform, has developed a chatbot to help cancer patients in sub-Saharan Africa.

Clinical Workflow Automation

Applications in this class exist to automate things like documentation, billing, and scheduling. This lets the hospitals that use them to save time, reduce the need for physical effort, and cut running costs. A Nigerian team has recently launched Precision Note, an AI tool that uses voice recognition and medical intelligence to provide real-time transcription and workflow automation.

Mental Health Support

Several AI mental healthcare assistants exist today, and some of them are available for use by Nigerians. Some digital agents are primed to engage persons seeking advice and other kinds of support for their mental health challenges. Others are more tailored for use by mental healthcare professionals to fashion messaging that’s sensitive to their patients’ needs. An AI tool in this category is Hapi, which delivers AI-based mental health counselling.
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Final Words

The AI tools in healthcare that we have talked about here are revolutionising medicine and patient care. Their existence makes continued progress in improving human wellbeing all but certain.
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This article was first published on 25th May 2025
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ikenna-nwachukwu

Ikenna Nwachukwu holds a bachelor's degree in Economics from the University of Nigeria, Nsukka. He loves to look at the world through multiple lenses- economic, political, religious and philosophical- and to write about what he observes in a witty, yet reflective style.

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