STATE OF HEALTH AI INDUSTRY IN SINGAPORE AND IHIS'ROLE

State of Health AI Industry in Singapore and IHiS'Role

State of Health AI Industry in Singapore and IHiS'Role

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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 continues to be in its nascent stages. However, several startups are actually 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 utilization of AI in healthcare, several questions and concerns have already been raised. This section aims to clarify the application form of AI in healthcare and its potential implications.
The Origin of AI and its Application in Healthcare

AI has been around for centuries, with its origins tracing back to Greek mythology. In the tale of Pygmalion, a sculptor falls in 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 phrase “robot” comes from the Czech word “robota,” which means forced labour or drudgery.

However it wasn't before the 1950s that AI grew to become developed as a scientific discipline. In 1956, a group of researchers at Dartmouth College convened for a summer workshop to talk about the possibility of making intelligent machines. This marked the beginning of AI as a conventional field of study.

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

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

That's the approach that is most commonly used today. And it's why AI applications in many cases are referred to as “narrow AI” or “applied AI.”
When Was Artificial Intelligence (AI) First Utilized in Healthcare?

AI found its way to the healthcare industry in early 1970s, where it absolutely was applied to biomedical problems such as for instance 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 could 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 generated 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, a pc science professor at the University of Toronto, developed a machine-learning algorithm called “AlexNet.” That introduced the present era of “deep learning,” which includes seen a significant increase in the accuracy of AI applications.

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