January 21, 2023
Last week we delved into the functionality and growing recognition of ChatGPT, a cutting-edge language model taking the world by storm. Its remarkable fluency, creativity, and generative capabilities far surpass those of any artificial intelligence (AI) technology made available to the public before. One of the primary drivers of its popularity is the range of uses and applications, from automating mundane administrative work to making waves in many different fields, including health care.
In this second part of the blog, we will explore the potential role of ChatGPT in the medical field, its impact on the advancement of digital health, and important considerations and limitations. We will also examine how AI models can be integrated into clinical practice, healthcare, and research and how they can shape the future of medicine. Finally, we will discuss the implications of these latest technology developments for health professionals and their practices.
January 14, 2023
The future of healthcare is rapidly evolving, and technology plays a major role in shaping it. From wearables to sensors, nanobots to chatbots, the use of artificial intelligence (AI) is becoming increasingly prevalent in the healthcare industry.
These technologies allow for the collection and utilization of data from a growing number of sources, including those used by consumers, practitioners, and health care systems; and this is what makes AI uniquely well-positioned to envelop medicine.
As LongevityFest 2022 faculty member and renowned innovator Peter Diamandis, MD underscored during his keynote presentation: the ever-growing role of AI in the future of medicine is undeniable, and no field will be left untouched.
October 25, 2019
“We’re now in an era that some consider an AI renaissance, with enormous amounts of computing power — unimaginable only a few decades ago — now available to institutions and even individual researchers. Machine learning algorithms and AI are performing feats once considered to be exclusive domains for humans.” –Sushovan Guha, MD, PhD
In recent years, the prevalence of artificial intelligence (AI), machine learning (ML), and other breakthrough computer technologies has seen significant growth in medicine. Utilized by radiologists, neurologists, pathologists, and many other specialists, artificial intelligence has greatly expanded human capabilities and proved incredibly useful in parsing and aggregating enormous amounts of medical data. The ability to use this data to learn by itself and improve on its capabilities via machine learning has made AI a constantly self-evolving resource. Deep learning (DL) – a subset of ML – has shown exceptional performance in image analysis through its use of the convolutional neural network (CNN), adding to the growing list of AI applications in healthcare and gastroenterology specifically.