*The translation of this article in French and Portuguese has been made through machine translation and has not been edited yet. we apologise for any inaccuracies.
How can Artificial Intelligence (AI), including ChatGPT, be applied in healthcare, and what are the potential impacts and challenges? We surveyed over 2,400 healthcare professionals (HCPs) to explore their views on the use of AI in healthcare in the near future. Read on to discover more about the latest version of ChatGPT, GPT-4, and the results from the most recent M3 Pulse survey on AI in healthcare.
On 14th March 2023, the new version of ChatGPT, named GPT-4.0, was launched and received impressive reviews compared to the previous version, GPT-3.5, which was released in November 2022. GPT stands for Generative Pre-trained Transformer, and it is a large language model that was developed by OpenAI. ChatGPT is designed to generate human-like text responses based on text-based prompts. It can answer questions, hold text conversations, summarise research, write and correct copy, compose essays, and describe things in detail, among other things. ChatGPT and GPT-4 use complex algorithms, a large language model, and vast amounts of data to generate specific, sophisticated, personalised, and contextualised responses based on the user’s request.
AI has become a buzzword across industries, and healthcare is no exception. AI tools such as GPT-4 could potentially be used in healthcare for medical diagnosis, analysing electronic health records, medical research, patient interaction, and medical education. However, ethical and privacy considerations need to be taken into account.
Applications of ChatGPT and AI Tools in Healthcare
AI in healthcare is not a new concept. Researchers have been working on AI applications in healthcare for decades. However, recent advancements in machine learning and natural language processing have made AI more accessible and effective. AI tools such as chatbots, virtual assistants, and predictive analytics are being used to improve patient outcomes, streamline workflows, and reduce costs. Today, AI is used in some areas of healthcare, including medical imaging, drug discovery, and to make patient care more personalised. Here are some examples:
Medical Imaging
AI algorithms are being used to analyse medical images such as X-rays, CT scans, and MRIs to assist physicians in detecting and diagnosing diseases. According to a study published in Nature, an AI system has been developed to assist radiologists in detecting breast cancer in ultrasound images. The system achieved an accuracy level comparable to that of ten board-certified radiologists, and when used in conjunction with radiologists, reduced false-positive rates by 37.3% and unnecessary biopsies by 27.8%.
Drug Discovery
Another area AI is showing promise is in drug discovery. Traditional drug discovery is a lengthy and expensive process, often taking years and costing billions of dollars. AI has the potential to speed up this process and reduce costs by analysing data, making predictions, and identifying promising candidates for drug development.*
Personalised Medicine
AI algorithms are becoming more prominent when analysing patient data such as genetic information, medical history, and lifestyle factors to develop personalised treatment plans tailored to individual patients. For example, one US-based company is using AI to identify patients who are at risk of developing diabetes to provide personalised interventions to prevent or delay the onset of the disease.*
Patient Engagement
One potential application of AI tools in healthcare, like ChatGPT or GPT-4, is to assist healthcare professionals in diagnosing patients by answering questions from patients about their symptoms and medical history, allowing healthcare professionals to make more informed decisions about diagnosis and treatment. Additionally, it could be used to analyse electronic health records (EHRs) and other medical documentation to identify patterns and insights that may be useful for improving patient outcomes.
M3 Pulse Results: Healthcare Professionals' Concerns About the Future Use of AI in Healthcare
At the beginning of the year, we conducted an M3 Pulse survey about the “Top Healthcare Trends in 2023” with our M3 panel members. The results show that healthcare professionals believe that AI will have a significant impact on healthcare in the upcoming years, being among the top four predicted trends globally. This demonstrates the optimism that healthcare professionals have regarding the potential of AI in healthcare.
However, in this M3 Pulse survey, we wanted to find out if there are any concerns amongst HCPs regarding the way Artificial Intelligence may be used by patients in the future. More specifically, we asked 2,410 healthcare professionals across Europe and the US how concerned they are that generative AI models could become the main source of self-diagnosis for patients within the next few years.
The results indicate that the majority of healthcare professionals (72%) are at least moderately concerned about the possibility of generative AI models becoming the primary source of self-diagnosis for patients in the near future. This includes 22% who are very concerned, 25% who are concerned, and 25% who are moderately concerned. 11% of respondents are not concerned at all about this possibility, whilst 16% are slightly concerned.
As a healthcare professional, do you agree? Do you have any other concerns about the use of AI in healthcare? Leave a comment in the section below or connect with us on LinkedIn and Instagram to join the conversation.
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M3 Pulse is a one-question online survey we conduct every month with our M3 panel members. It´s a fun and easy way to share your opinions about trending healthcare topics with a global community of healthcare professionals. If you want to participate in this month´s M3 Pulse, register and join the M3 panel today.
The Rise of AI in Healthcare: Impacts and Challenges
Looking to the future, there are several applications of AI in healthcare that could greatly benefit patients, healthcare professionals, and the healthcare industry at large.
According to the Global Artificial Intelligence in Healthcare Market Report 2023, AI in the healthcare market is expected to experience significant growth from $14.6 billion in 2023 to $102.7 billion by 2028, with a compound annual growth rate of 47.6% during the forecast period.
The potential benefits of AI in healthcare are significant. It can help improve the accuracy and speed of diagnosis, reduce medical errors, and enhance patient outcomes. AI tools can also help healthcare providers manage the growing volume of patient data and improve care coordination.
Furthermore, AI algorithms can analyse patient data and provide clinicians with greater insights into the patient’s unique characteristics, such as genetics, lifestyle, and medical history. This information can help clinicians develop personalised treatment plans that are tailored to the individual patient.
Another potential benefit is cost savings. By automating routine tasks and streamlining workflows, AI can help reduce administrative costs and free up healthcare providers to focus on patient care and other tasks. For example, AI chatbots, like GPT, can handle patient queries and appointment scheduling.
Despite the potential benefits, the use of AI in healthcare also presents several challenges. One of the main challenges is the lack of standardisation and regulation. With so many different AI applications and algorithms in development, it’s essential to ensure that they meet regulatory requirements and are safe for patients.
Another challenge is ensuring the accuracy and reliability of the responses generated by the tool. There is a risk of potential bias in the data used to train the AI algorithm, which could result in inaccurate or discriminatory responses. It’s essential to consider these challenges and work to address them to ensure the safe and effective use of AI in healthcare.
With further research and development, it is likely we will see more AI tools, such as ChatGPT and GPT-4, being used in healthcare in the near future. As healthcare professionals, it is important to stay informed about the latest advances in AI and how they can be used to improve patient care.
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2 comments
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Although this is the future, it is frightening because patients will self-diagnose and demand treatment without a holistic assessment and understanding of their health issues. As a result of the fact that patients will collect as much information as possible and that clinicians are not given the time to research or learn about specialties other than their own, it will be very difficult for health workers to continuously revise every area and keep up with current research in their own specialties and other specialties that may not be familiar to them. Patients could label a clinician incompetent though the clinician in expert in their own speciality based on their understanding .