State of Health AI Industry in Singapore and IHiS'Role

State of Health AI Industry in Singapore and IHiS'Role

Blog Article

No more the realm of science fiction, AI and robotics are transforming healthcare.

Today, AI is used to diagnose diseases, recommend treatments, and even perform surgeries. And hopefully, as time goes by, AI will play a far more significant role in improving patient outcomes and reducing healthcare costs.

In Singapore, the Healthcare AI industry remains in its nascent stages. However, several startups already are using AI to develop innovative solutions for the healthcare sector.
Demystifying Healthcare AI: Historical Context and the Current State of AI in Healthcare

As healthcare professionals explore the use of AI in healthcare, several questions and concerns have now been raised. This section aims to clarify the application of AI in healthcare and its potential implications.
The Origin of AI and its Application in Healthcare

AI 's been around for centuries, using its origins tracing back to Greek mythology. In the tale of Pygmalion, a sculptor falls in deep love with a statue he's created. His wish is granted upon praying to the gods, and the sculpture comes to life.

The word “robot” was used in the 1920 play RUR (Rossum's Universal Robots) by Czech writer Karel Capek. The word “robot” arises from the Czech word “robota,” meaning forced labour or drudgery.

However it wasn't before the 1950s that AI began to be developed as a scientific discipline. In 1956, a small grouping of researchers at Dartmouth College convened for a summer workshop to go over the likelihood of creating intelligent machines. This marked the beginning of AI as a proper field of study.

In early days of AI, the focus was on developing machines that may replicate human intelligence. This is referred to as the “strong AI” approach.

However, it soon became apparent that creating machines that might think like humans was a much more difficult task than initially thought. As a result, the focus of AI shifted to developing machines that may carry out specific tasks, called the “weak AI” approach.

That is the approach that's most commonly used today. And it's why AI applications are often called “narrow AI” or “applied AI.”
When Was Artificial Intelligence (AI) First Used in Healthcare?

AI found its way to the healthcare industry in the early 1970s, where it had been placed on biomedical problems such as cancer detection and drug development. That saw a proliferation of AI research in the medical field.

In 1980, an international AI journal called “Artificial Intelligence in Medicine” was launched. AI would be incorporated into clinical settings in the decades that followed.

In the 1990s, a renewed fascination with AI was driven by computer science and machine learning advances. That led to the development of new AI applications in healthcare, such as for example Fuzzy expert systems, artificial neural networks, Bayesian networks, and decision support systems.

In 2012, Geoffrey Hinton, some type of computer science professor at the University of Toronto, developed a machine-learning algorithm called “AlexNet.” That introduced the present era of “deep learning,” which has seen an important escalation in the accuracy of AI applications.

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