Since 2017, ophthalmology has been the busiest of all the medical specialties in the UK's National Health Service in terms of clinical appointments. Nearly 10 percent of all NHS outpatient appointments are related to eye problems. That's nearly 10 million appointments per year, and that number has risen by more than a third in the past five years. Between the ages of 18 and 65, the main cause of blindness is diabetic eye disease. But the population is getting older, and we're also seeing an increasing prevalence of diseases like age-related macular degeneration (AMD).

When AI algorithms became popular they were often praised for their objectivity. Many researchers and practitioners believed that the algorithms cannot be biased because they only use objective data to make decisions. However, in the scientific community, there have been a substantial amount of publications discussing how AI algorithms can amplify existing human biases. Nowadays, almost everyone in the AI community is aware of the fact that AI algorithms are not always free of bias. Because it is known that algorithms can be biased, the scientific community has spent a lot of effort in trying to prevent algorithms from being biased.

Pandemics, no matter of kind they are, can be deadly for mankind. History is a brim of evidence on how global pandemics in the past have caused mass destruction of life and the economy. Take an example of the novel COVID-19 today for instance. Originating from its epicenter China, the Coronavirus has infected about 12,945,505 souls around the world today causing a staggering 9 weeks lockdown in Italy alone, the longest ever recorded in the world. But here's a thing, as mankind continues to battle the spread of the virus, technology has come up as a surprise package and a worthy solution to fighting the pandemic yet again.

The recent outbreak of the coronavirus disease has caused a drop in sales and profit margin for most companies across the globe and tech companies are not exceptional. With this, it's very surprising to see how the coronavirus has affected the tech companies. But in the future, artificial intelligence could help researchers do a better job in driving away the coronavirus disease. Though it might be too late for the fledging technology to play a major role in the current epidemic -- but there is still hope for the next outbreaks. Artificial Intelligence is always good at combining through mounds of data to help find the connection that makes it easier to know the sort of treatments that could work.

Viral particles are colorized purple in this color-enhanced transmission electron micrograph from a COVID-19 patient in the United States. Computer modeling can help epidemiologists predict how and where the illness will move next. Viral particles are colorized purple in this color-enhanced transmission electron micrograph from a COVID-19 patient in the United States. Computer modeling can help epidemiologists predict how and where the illness will move next. Scientists who use math and computers to simulate the course of epidemics are taking on the new coronavirus to try to predict how this global outbreak might evolve and how best to tackle it.

The World Health Organisation has classified stress as the "health epidemic of the 21st century." As employees face greater pressures at their workplace along with an'always on' work culture, stress is the single biggest reason for most health issues today. This also comes with an economic cost where depression and anxiety disorders cost the global economy about $1 trillion each year. When Mudit Dandwate wanted to do something more meaningful in life, the IIT engineer got in touch with Gaurav Parchani, a colleague he met at Altair Engineering in Bengaluru. The duo, post toying with many ideas, zeroed on the healthcare sector for its immense transformative nature for the masses and that's how Dozee, a contactless health monitoring device, came into being in 2015.

Cyberbullying is just as dangerous and huge a problem as regular bullying. Last year, a 12-year-old girl from Florida committed suicide by hanging herself. As the investigation of her demise found out, the reason for her taking her life was cyberstalking and cyberbullying. Two more 12-year-olds were taken into custody after the incident for spreading rumors about the victim online and for inciting her to commit suicide. While bringing many new possibilities to education, technology and Internet accessibility can become a means to harm another person, as seen in this tragic case--and, unfortunately, many others. Part of the problem is that children this young, both bullies and victims, often do not think their actions through and act hastily.

An 1,100-pound emergency robot helped to save a piece of human history during a blaze at Paris' Notre Dame cathedral that threatened to burn the historic monument to the ground. The formidable device, dubbed Colossus, a remote-controlled drone equipped with hoses and cameras, was able to roll its way into the cathedral to help fight the fire -- which burned through the structure's old wooden roof -- from within. Colossus, which is both fire-resistant, water-proof, and capable of carrying up to 1,200 pounds not only helped to stop the fire before it completely razed the structure, but reduced the need for fire fighters to enter the church where they would be in danger from falling debris. At the time, the cathedral was only 15 to 30 minutes away from being completely burned to the ground, reports say. Weighing in at 1,100 pounds, Colossus is a firefighting robot that can be controlled remotely.

Artificial Intelligence is making its way into various organizations and corporations. But still, the discussion that whether AI is a boon or a ban is a never-ending one. Despite the fact that the AI program was written in 1958, it has seen tremendous growth in recent years. We have seen Sophia, Alexa voice bot and many other similar examples that are making people wonder how is this field can turn against humans. Experts are researching ways to add AI into different domains, and cybersecurity is one of them.

Communicable diseases represent a critical challenge for resource-strapped public health infrastructures worldwide. As evidenced by the outbreaks of severe acute respiratory syndrome (SARS) in 2003, influenza A H1N1 (or "swine flu") in 2009, Ebola and Middle East respiratory syndrome (MERS) in 2014, and the Zika virus in 2016, infectious diseases can spread rapidly within countries and across national borders. In China alone, the World Bank estimated the economic cost of SARS at $14.8 billion, and while both Europe and the United States were largely spared its ravages, the epidemic impacted global gross domestic product (GBP) by $33 billion. In an era of global air travel and densely concentrated, interconnected populations, most countries remain woefully underequipped to stem the tide of such infections. Public health policymakers are tasked with deciding the nature and timing of appropriate courses of action to prevent, detect, and respond to an infectious disease outbreak.