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, as time goes on, AI will play a far 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 happen to be 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 already been raised. This section aims to clarify the applying 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 has created. His wish is granted upon praying to the gods, and the sculpture involves life.

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

Nonetheless it wasn't until the 1950s that AI grew to become developed as a scientific discipline. In 1956, several researchers at Dartmouth College convened for a summer workshop to talk about the chance of making intelligent machines. This marked the start of AI as a proper field of study.

In early days of AI, the focus was on developing machines that might 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 can carry out specific tasks, known as the “weak AI” approach.

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

AI found its way to the healthcare industry in the first 1970s, where it absolutely was 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 curiosity about AI was driven by computer science and machine learning advances. That resulted in the development of new AI applications in healthcare, such as for instance 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 a substantial upsurge in the accuracy of AI applications.

For more details kindly visit applications of smart health.

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