The Potential of Generative AI in Rehab Therapy

"There has never been a better time to go into medicine. [AI is] the most radical transformation in health since the introduction of antibiotics."
- Dr. Lloyd Minor, the Dean of Stanford University School of Medicine.

Artificial intelligence (AI) is becoming a more popular tool in various industries, including healthcare, due to its potential to alter clinical decision-making and enhance health outcomes. Generative AI is a branch of AI that has lately acquired popularity due to its potential to employ machine learning algorithms to produce new data, such as text, pictures, and music. Generative AI has shown its ability to drive change in various areas, including healthcare. 

A bold declaration and solid figures suggest that the Generative Artificial Intelligence (AI) in Healthcare Market size was estimated at USD 1.8 billion in 2023 and is predicted to reach USD 22.1 billion by the end of 2032, increasing at a CAGR of 32.6% during the study period.

The healthcare sector is adopting generative AI, a robust technology that could transform how we provide care. Generative AI has the potential to alter everything from billing and diagnosis to treatment and research by automating processes and providing physicians with better decision-making capabilities. This might result in a more efficient, fair, and effective healthcare system. However, the particular uses of generative AI in rehabilitation treatment and its influence on healthcare are still being investigated. 

So, what is Generative AI?

Generative AI is a machine learning technology that learns from existing data to create new data. These models produce data that resembles the original data on which they were trained. They have several applications, like making images or speech without explicit instructions. They can also learn from data without clear labels, which is helpful when labeled data is complex. Additionally, they can generate data by understanding the patterns of inaccurate data and creating new data that looks similar. Generative models stand out from other machine learning models because they focus on developing new samples that match the original data rather than just categorizing or predicting based on existing data. 

According to Deloitte: 

• 75% of prominent healthcare organizations are experimenting with or intend to grow Generative AI across the industry.
• 82% have or intend to establish governance and oversight systems for Generative AI.
• Leaders believe Generative AI has the potential to improve efficiency (92%) and enable faster decision-making (65%).