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Discussing the Future of Healthcare with Mostafa Ajallooeian, Engagement Director and Senior Data Scientist at Unit8 SA.

With Intelligent Health approaching (13-14 September 2023, Basel, Switzerland), Mostafa Ajallooeian, Engagement Director, Senior Data Scientist at Unit8 SA, shares his predictions on the future of Artificial Intelligence (AI) in healthcare, especially concerning the use of Generative AI (GenAI) and Large Language Models (LLMs).

On the subject of GenAI and LLMs having a transformative effect on healthcare, Ajallooeian believes that the impact will be substantial, albeit not directly observable. According to him, the healthcare sector stands to benefit in two key areas: medical treatments and procedural improvements. He notes GenAI’s influence will be most noticeable in the latter with the potential to change methods of operation in the industry.

How? GenAI can make the process of locating relevant data more efficient. In a field where research and up-to-date information are crucial, AI could quicken this process significantly. Instead of manual data collection and analysis, GenAI can collect, sort, and analyze vast amounts of data in shorter periods, allowing for quicker decision-making, a valuable factor in emergency health situations where time is a major concern.

Besides, AI can assist in creating science-backed opinions more quickly. With the aid of AI, professionals could sift through multiple research studies, articles, and data sets at a much faster rate than current methods. This can lead to quicker conclusions and recommendations, faster diagnoses, and more effective treatment protocols. The speed at which information can be processed and understood, therefore, is considerably increased, leading to superior care for patients.

Moreover, dissection of trial outcomes could be wider-ranging with the aid of GenAI. Clinical trials, essential for drug development and medical advancements, collect a massive amount of diverse data. GenAI could provide a holistic view of these trials by analysing these data comprehensively, improving the understanding of these trials, leading to better healthcare solutions.

In conclusion, Ajallooeian suggests that Generative AI’s role in medicine is also about creating efficiencies, accelerating decision-making, and leading to more well-rounded insights. Though most of these advancements might be indirect or not readily apparent to the patient, they should result in better healthcare overall. The future of the healthcare sector, therefore, will be significantly influenced by the effective utilization of AI, particularly GenAI. The benefits are poised to extend the reach beyond patient treatments to enhanced operational efficiencies within the healthcare sector itself. Ajallooeian’s insights pave the way for exciting developments in healthcare, as he paints a future where AI facilitates a more effective and efficient delivery of healthcare services.

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