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 can be used to diagnose diseases, recommend treatments, and even perform surgeries. And hopefully, later on, AI will play an even 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 are already using AI to produce innovative solutions for the healthcare sector.
Demystifying Healthcare AI: Historical Context and the Current State of AI in Healthcare

As healthcare professionals explore the usage 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 existed for centuries, with its origins tracing back to Greek mythology. In the tale of Pygmalion, a sculptor falls deeply in love with a statue he has created. His wish is granted upon praying to the gods, and the sculpture concerns life.

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

Nonetheless it wasn't before 1950s that AI started to be developed as a scientific discipline. In 1956, a group of researchers at Dartmouth College convened for a summer workshop to talk about the likelihood of creating intelligent machines. This marked the beginning of AI as an official field of study.

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

However, it soon became apparent that creating machines that may 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, referred to as the “weak AI” approach.

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

AI found its way to the healthcare industry in the first 1970s, where it absolutely was applied to biomedical problems such as for example 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 interest in AI was driven by computer science and machine learning advances. That resulted in 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 computer science professor at the University of Toronto, developed a machine-learning algorithm called “AlexNet.” That introduced the existing era of “deep learning,” which includes seen a significant increase in the accuracy of AI applications.

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