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 longer 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, in the foreseeable future, AI will play an even more significant role in improving patient outcomes and reducing healthcare costs.

In Singapore, the Healthcare AI industry is still 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 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, with its origins tracing back to Greek mythology. In the tale of Pygmalion, a sculptor falls deeply in love with a statue he's created. His wish is granted upon praying to the gods, and the sculpture concerns life.

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

Nonetheless it wasn't until the 1950s that AI began to be developed as a scientific discipline. In 1956, a group of researchers at Dartmouth College convened for a summer workshop to discuss the chance of creating intelligent machines. This marked the beginning of AI as a formal field of study.

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

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

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

AI found its way in to the healthcare industry in early 1970s, where it had been placed on 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 curiosity about AI was driven by computer science and machine learning advances. That generated the development of new AI applications in healthcare, such as 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 current era of “deep learning,” that has seen a substantial escalation in the accuracy of AI applications.

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