It is not often that one witnesses a transformational advance in medicine. But the application of artificial intelligence (AI) to improve the early detection of disease is exactly that. I was a co-author of the paper recently published in Nature showing that an AI system developed by Google was better at spotting breast tumors than doctors. Now, researchers in the US have reported that AI-supported laser scanners are faster than doctors at detecting brain tumors. These are very exciting developments that will, ultimately, have a big impact on the accuracy, logistics, and speed of diagnosis.
For Elon Musk, the term artificial intelligence conjures apocalyptic scenarios of autonomous robots wreaking destruction in a world dominated by hyper-intelligent machines. Stephen Hawking foresees a future in which smart machines replace sluggish humans across a range of activities, driving million...
Health systems are multi- faceted and continually changing across a variety of contexts and health service levels. For example one of the critical challenges of the resource deficient public health infrastructures worldwide is the spread of the communicable diseases. As seen during the outbreaks of the fatal communicable diseases like Severe Acute Respiratory Syndrome (SARS) in 2003, H1N1 in 2009, the Zika virus in 2016, Ebola and Middle East respiratory syndrome (MERS) in 2014, and the Nipah virus in 2018, infectious diseases can spread rapidly within the countries as well as across the national borders. Artificial intelligence (AI) has been making its way into the healthcare sector, presenting a variety of possibilities in disease diagnosis, treatment, and prevention. The adoption of artificial intelligence in the healthcare sector is growing substantially.
As the ability of artificial intelligence grows it is increasingly having an effect on many areas of our everyday lives. One area where is could have the biggest impact is artificial intelligence in healthcare. Smart technologies, machine learning programs and robotic devices are all contributing to the positive impact that artificial intelligence is having in the healthcare world. As technologies and our understanding of the possibilities provided by these technologies develops the impact of artificial intelligence in healthcare can only grow. What follows are 10 of the most important ways in which artificial intelligence is impacting positively on healthcare both now and in the future. For many years it has been possibly to obtain images of the insides of the human body through non-invasive means such as X-rays, CT scans and MRI scans. However many forms of diagnosis still require invasive action such as taking tissue samples or biopsies.
Machine learning is accelerating the pace of scientific discovery across fields, and medicine is no exception. From language processing tools that accelerate research to predictive algorithms that alert medical staff of an impending heart attack, machine learning complements human insight and practice across medical disciplines. However, with all the "solutionism" around AI and machine learning technologies, healthcare providers are understandably cautious about how it will really help patients and bring a return on investment. Many AI solutions on the market for healthcare purposes are tailored to solve a very specific problem, such as identifying the risk of developing sepsis or diagnosing breast cancer. These out-of-the-box AI solutions make it difficult or impossible for companies to customize their models and get the most out of their investment.