Diabetes has long been difficult to manage, especially in rich countries but increasingly in developing countries as well. Whether or not one thinks this non-communicable disease should be treated as epidemic or as a lifestyle-related disease, it must be dealt with urgently, though fortunately AI is helping with personalized and effective treatments.

Despite the global devastation and disruption caused by the COVID-19 pandemic, the situation might have been even worse without the help of AI. As the technology continues to grow and develop, it will also undoubtedly prove its worth in public health efforts to prevent potential pandemics, as well as in easing outbreaks that cannot be prevented or contained as easily.

With the loss of major parts of the Amazon rainforest, the West Antarctic Ice Sheet, and last year’s bushfires in Australia, it is evidently clear we have reached the tipping point in climate change. Dr Marcus Ranney delves into climate change and discusses the AI tools needed to fix it.

Dr Marcus Ranney discusses the transition from artificial intelligence 'knowledge acquisition' to 'knowledge management' to solve multidimensional problems, provide greater classification accuracy, and establish strong relationships between variables to save the healthcare sector much valuable time, and money.

From a shortage of equipment to a shortage of medicines to a shortage of healthcare professionals, the healthcare system in India has been strained for a long time. But thanks to a dozen or so innovative AI health apps the burden is being lifted.

India may have been late to the AI party, but it is fast catching up with a series of government backed initiatives. Dr Marcus Ranney explores India’s national strategy for healthcare.

India’s healthcare was in dire straits even before COVID-19, with an estimated shortage of 600,000 doctors and 2 million nurses, per a 2019 study. Medical costs push 57 million people into poverty each year, but Artificial Intelligence (AI) is providing hope to the nation in COVID-19 surveillance, diagnosis, and treatment, i.e., the entire cycle from prevention and diagnosis to cure.

AI is set to revolutionize poorer countries the most. It has already drastically bettered the service and delivery of healthcare services n richer nations. Yet where it could revolutionize rather than merely better it are parts of the world with bad medical infrastructure, like rural India.