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.
January 24, 2020
January marks the beginning of Thyroid Awareness Month , which aims to spread awareness of thyroid conditions affecting over 20 million individuals living within the United States. Up to 60% of those with thyroid disease are unaware of their condition, while women are significantly more likely to experience thyroid issues than men. Although the underlying causes of thyroid disease are largely unknown, it is important to routinely evaluate the thyroid as undiagnosed thyroid disease can put patients at risk for severe health complications – including cardiovascular disease, osteoporosis, and infertility.
Alongside conditions such as hyperthyroidism and hypothyroidism, the thyroid may also frequently develop nodules. Most don’t cause any symptoms and are benign in the majority of cases, however, a small percentage of thyroid nodules are cancerous. To improve early detection techniques, research efforts have begun investigating the potential benefit of employing artificial intelligence (AI) in classifying thyroid nodules.
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.