State of Health AI Industry in Singapore and IHiS'Role

State of Health AI Industry in Singapore and IHiS'Role

Blog Article

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 future, AI will play an even 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 happen to be 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 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 once again 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 comes to life.

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

Nonetheless it wasn't until 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 discuss the chance 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 may replicate human intelligence. This was referred to as 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 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 in many cases are referred to as “narrow AI” or “applied AI.”
When Was Artificial Intelligence (AI) First Used in Healthcare?

AI found its way in to the healthcare industry in early 1970s, where it absolutely was put 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 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 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 increase in the accuracy of AI applications.

Click here to obtain more information about smart health players in Singapore.

Report this page