We sat down with Panos Karelis, Director of Customer Experience and Insights at Intelligencia AI to ask him his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

We sat down with Gordon Wishart, Founder and Chief Medical Officer of Check4Cancer, to ask him his thoughts on the future of AI in healthcare.

We sat down with Noam Shomron, Professor of Genomics at Tel Aviv University, to ask him his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

Yes, the increased usage of Generative AI and LLMs will dramatically impact the healthcare industry. These technologies will enhance clinical decision support by synthesising vast medical data for more accurate diagnoses and optimised treatment plans. In medical imaging, LLMs can analyse scans with high accuracy, aiding in early detection of conditions. AI will also expedite drug discovery by predicting molecular structures and optimising drug design, potentially accelerating new therapy development. Personalised medicine will benefit from AI's ability to analyse diverse data sets, tailoring treatments based on individual genetics and responses. AI can streamline healthcare operations through automation and improve patient engagement with personalised health advice and education.

We sat down with Raul Villamarin Rodriguez, Vice President of Woxsen University, to ask him his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

Yes, the increased usage of Generative AI and Large Language Models (LLMs) has the potential to dramatically impact the healthcare industry in several ways:

• Enhanced Diagnosis and Treatment: LLMs can analyse vast amounts of medical data, including patient records, clinical trials, and medical literature. This allows them to identify patterns and correlations that may be missed by human doctors, potentially leading to earlier and more accurate diagnoses and personalised treatment plans.
• Drug Discovery and Development: Generative AI can be used to analyze molecular structures and design new drugs, accelerating the drug discovery process and potentially leading to the development of more effective treatments for various diseases.
• Improved Patient Care: LLMs can be used to develop chatbots and virtual assistants that can answer patient questions, provide health information, and even offer basic mental health support. This can improve patient engagement and empower them to take a more active role in their healthcare.
• Streamlined Administrative Tasks: LLMs can automate repetitive administrative tasks such as scheduling appointments, generating reports, and coding medical records. This can free up valuable time for doctors and nurses to focus on patient care.

We sat down with Peter Grolimund, Board Member of Swiss Health Data Space, to ask him his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

Yes.

• It will extract data from unstructured information to provide new services (e.g.patient path)
• It will make the secondary usage of data available to everybody and support our decision making
• It will decrease the gap of know-how between the health-care provider and the patient
• It will will increase the healthcare quality, and if made accessible to the patient / to us all, it will improve all of our data-literacy and decision making and as such, will move our conversation with health care provider to a new level
• The health-care provider on the other side will be in a position to spend more valuable time with the patient instead of performing administrative work

We sat down with Margrietha H. (Greet) Vink, Erasmus MC's Director of Research Development Office and Smart Health Tech Center, to ask her for her thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

The integration of Generative AI and LLMs into the healthcare industry holds the potential to revolutionise various aspects of patient care, from diagnostics and treatment to administrative tasks and drug development. However, this transformation will require careful consideration of ethical, legal, and practical challenges to ensure that the benefits are realised in a responsible and equitable manner.

We sat with Benjamin von Deschwanden, Co-Founder and CPO at Acodis AG, to ask him his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

I think that the strength of Generative AI lies in making huge amounts of information accessible without needing to manually sift through the source material. Being able to quickly answer any questions is going to be transformative for everyone working with increasingly bigger data sets.
The challenge will be to ensure that the information we get by means of Generative AI is correct and complete – especially in healthcare – as the consequences of wrong data can be fatal.

We at Acodis are actively working on practical applications of Generative AI inside our Intelligent Document Processing (IDP) Platform for Life Science and Pharma clients to drive efficiency and accelerate time to market, whilst controlling the risks.

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Yurii Kryvoborodov, Head of AI & Data Consulting, Unicsoft, his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

Generative AI is just a part of the disruptive impact of all AI tech on the healthcare industry. It allows to dramatically reduce time efforts, costs and chances of mistakes. Generative AI and LLMs are applied to automating clinical documentation, drug discovery, tailoring of treatment plans to individual patients, real-time clinical decision support and health monitoring, extracting valuable insights from unstructured clinical records, streamlining administrative tasks like billing and claims processing, providing instant access to comprehensive medical knowledge. And this list continues.

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Nicole Spieker, Chief Executive Officer, PharmAccess, her thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

Everywhere in the world we are reaching the limitations of our healthcare systems. In parts of the world that have performed relatively well the impact of an aging population is threatening sustainability, in low-income countries inclusive healthcare will be unattainable with rising needs as result of climate change. The only way to solve this, is to use transformative approaches that allows us to place the patient at the center. AI is transforming how we interact with each other at all levels, it is now the time where it will completely transform healthcare.

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Dr Zaid Al-fagih, Co-Founder & CEO, Rhazes AI, his thoughts on the future of AI in healthcare.

Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?

The use of generative AI and LLMs carries a lot of promise. Beyond re-stating the obvious use-cases, there are some counterintuitive benefits that may arise from the deployment of AI tools. Two examples that come to mind are AI democratising medical expertise and making medicine a more “human” profession. One might think that these AIs would centralise medical expertise even more in high-tech hospitals. On the contrary, if deployed thoughtfully, AI has the potential to democratise medical knowledge, enabling healthcare providers in remote or less-developed areas to access world-class expertise. Moreover, by taking over the rote and analytical tasks in clinical medicine, AI will allow clinicians to focus on the aspects of their job which are most human, like empathy, communication, and human understanding.

Whether the impact of generative AI will be truly dramatic will depend on how we navigate the inevitably incoming trough of disillusionment that will follow our current stage in AI’s hype cycle. Will we be able to overcome the challenges of over-reliance, data privacy, healthcare inequality, etc. and will regulators catch up with the rate of technological development?