The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
At the beginning of the artificial intelligence (AI)/machine learning (ML) era, the expectations are high, and experts foresee that AI/ML shows potential for diagnosing, managing and treating a wide variety of medical conditions. However, the obstacles for implementation of AI/ML in daily clinical practice are numerous, especially regarding the regulation of these technologies. Therefore, we provide an insight into the currently available AI/ML-based medical devices and algorithms that have been approved by the US Food & Drugs Administration (FDA).
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
The regulation of GPT-4 and generative AI in medicine and healthcare without damaging their exciting and transformative potential is a timely and critical challenge to ensure safety, maintain ethical standards, and protect patient privacy. We argue that regulatory oversight should assure medical professionals and patients can use LLMs without causing harm or compromising their data or privacy. This paper summarizes our practical recommendations for what we can expect from regulators to bring this vision to reality.
A short guide for medical professionals in the era of artificial intelligence
A short guide for medical professionals in the era of artificial intelligence
This paper aims to serve as a short, visual and digestible repository of information and details every physician might need to know in the age of A.I. We describe the simple definition of A.I., its levels, its methods, the differences between the methods with medical examples, the potential benefits, dangers, challenges of A.I., as well as attempt to provide a futuristic vision about using it in an everyday medical practice.
Patient Design: The Importance of Including Patients in Designing Health Care
Patient Design: The Importance of Including Patients in Designing Health Care
We argue that to drive this paradigm change fully into existence, we need to shift “patient centricity” from a relatively passive process, driven by industry needs, into a far more active, collaborative process driven by both parties’ needs and preferences. To build this new world of practice and workflow, we simply must engage with patients as true partners. To achieve medicine’s new potential, it must be optimized around the wants and priorities of the ultimate stakeholder—the party that has the most at stake in how it all plays out: the patient. Patient design is the approach that can make it happen.
Digitally engaged physicians about the digital health transition
Digitally engaged physicians about the digital health transition
To explore the digitally engaged physician’s knowledge and attitudes towards digital health technologies and the transformation of the doctor-patient relationship. A qualitative interview study analysed with Interpretative Phenomenological Analysis (IPA). The study is based on qualitative, semi-structured interviews with 11 digitally engaged physicians from 9 countries.
Digital Health Technologies and Well-Being in the Future
Digital Health Technologies and Well-Being in the Future
Advanced technologies such as sensors, portable diagnostic devices, or artificial narrow intelligence based algorithms will make patients the point-of-care receiving diagnosis and treatment wherever they are. These developments will redefine well-being as patients will enter healthcare before their first symptoms arise and will need their medical professionals to design preventive plans using a huge amount of data obtained about the patient and from studies.
The Real Era of the Art of Medicine Begins with Artificial Intelligence
The Real Era of the Art of Medicine Begins with Artificial Intelligence
While digital health technologies might be considered a threat to the art of medicine, I argue that advanced technologies, such as artificial intelligence, will initiate the real era of the art of medicine. Through the use of reinforcement learning, artificial intelligence could become the stethoscope of the 21st century. If we embrace these tools, the real art of medicine will begin now with the era of artificial intelligence.
Data annotators are the unsung heroes of medicine’s artificial intelligence revolution
Data annotators are the unsung heroes of medicine’s artificial intelligence revolution
The artificial intelligence (A.I.) era is booming. More than twice as many papers mentioning A.I. were published in medical journals in 2018 than in 2017. The way machine and deep learning algorithms can contribute to diagnosing medical conditions or tailoring therapies have been explored in major studies (1). However, the medical community is concerned and has expressed doubts about the challenges A.I. poses to healthcare (2,3). While the potential of artificial narrow intelligence in assisting medical professionals in their daily work is exceptionally high, there is one aspect of the journey towards A.I. that often gets forgotten: the importance of data annotators.
Opinion leader empowered patients about the era of digital health: a qualitative study
Opinion leader empowered patients about the era of digital health: a qualitative study
We aimed to explore the opinion leader empowered patients’ relationship with their medical professionals, their experiences and beliefs about technologies, and how they see the future. We also attempted to determine whether technologies, the access to it or patient empowerment are the main driving forces behind these changes.
The Rise of the Empowered Physician in the Digital Health Era: Viewpoint
The Rise of the Empowered Physician in the Digital Health Era: Viewpoint
We argue that patient empowerment, the spread of digital health, the biopsychosocial-digital approach, and the disappearance of the ivory tower of medicine lead to a new role for physicians. Digital health allows the job of being a medical professional to become more rewarding and creative. The characteristics of a physician-as-idol could shift from self-confident to curious, from rule follower to creative, and from lone hero to team worker.
Digital Health Best Practices For Policy Makers
Digital Health Best Practices For Policy Makers
Disruptive technologies spread around like wildfire, but healthcare systems are crumbling under the pressure of problems and changes. So, The Medical Futurist Institute is eager to do what it can to make sure we arrive at the envisioned better future of healthcare. Our collection of best digital health policy practices, Digital Health Best Practices For Policy Makers, is available and accessible to everyone for free and we encourage everyone to use it for the common good.
Digital health is a cultural transformation of traditional healthcare
Digital health is a cultural transformation of traditional healthcare
In this paper, we discuss how the old paradigm of the paternalistic model of medicine is transforming into an equal level partnership between patients and professionals and how it is aided and augmented by disruptive technologies. We attempt to define what digital health means and how it affects the status quo of care and also the study design in implementing technological innovations into the practice of medicine.
Health IT and digital health: the future of health technology is diverse
Health IT and digital health: the future of health technology is diverse
When discussing the future of technologies in healthcare, one must make a clear distinction between issues regarding IT (Information technology) and digital health. The two areas are often intermingled while their nature and the solution they require are different on many scales. In a nutshell, IT issues impact physicians' everyday job the most but can be dealt with in the short term. Digital health has more impact on cultural changes and entails a long-term process.
The role of artificial intelligence in precision medicine
The role of artificial intelligence in precision medicine
Instead of developing treatments for populations and making the same medical decisions based on a few similar physical characteristics among patients, medicine has shifted toward prevention, personalization, and precision. In this shift and cultural transformation, AI is the key technology that can bring this opportunity to everyday practice.
Digital Health Technologies to Support Human Missions to Mars
Digital Health Technologies to Support Human Missions to Mars
The aim of this article is to provide a comprehensive and practical overview of how digital health technologies could help reduce the health risks and potential medical consequences related to human spaceflights to Mars by making
astronauts the point-of-care.
Will artificial intelligence solve the human resource crisis in healthcare?
Will artificial intelligence solve the human resource crisis in healthcare?
The human resource crisis is widening worldwide, and it is obvious that it is not possible to provide care without workforce. How can disruptive technologies in healthcare help solve the variety of human resource problems? Will technology empower physicians or replace them?
A Revised Hippocratic Oath for the Era of Digital Health
A Revised Hippocratic Oath for the Era of Digital Health
Our suggestions are not meant to be a definitive set of final recommendations. Rather, we propose new text that bodies such as the World Medical Association might consider integrating into an updated Oath, just as previous changes were adopted to ensure the Oath remains relevant and impactful for all physicians and their patients.
The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals
The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals
In November 2022, OpenAI publicly launched its large language model (LLM), ChatGPT, and reached the milestone of having over 100 million users in only 2 months. LLMs have been shown to be useful in a myriad of health care–related tasks and processes. In this paper, I argue that attention to, public access to, and debate about LLMs have initiated a wave of products and services using generative artificial intelligence (AI), which had previously found it hard to attract physicians. This paper describes what AI tools have become available since the beginning of the ChatGPT revolution and contemplates how it they might change physicians’ perceptions about this breakthrough technology.
Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial
Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial
As more patients and medical professionals use AI-based tools, LLMs being the most popular representatives of that group, it seems inevitable to address the challenge to improve this skill. This paper summarizes the current state of research about prompt engineering and, at the same time, aims at providing practical recommendations for the wide range of health care professionals to improve their interactions with LLMs.
The Impact of Multimodal Large Language Models on Health Care’s Future
The Impact of Multimodal Large Language Models on Health Care’s Future
We present several futuristic scenarios to illustrate the potential path forward as multimodal LLMs (M-LLMs) could represent the gateway between health care professionals and using AI for medical purposes. It is important to point out, though, that despite the unprecedented potential of generative AI in the form of M-LLMs, the human touch in medicine remains irreplaceable. AI should be seen as a tool that can augment health care professionals rather than replace them. It is also important to consider the human aspects of health care—empathy, understanding, and the doctor-patient relationship—when deploying AI.