The emergence of artificial intelligence (AI) in healthcare is the result of increased demand for tailored healthcare solutions, lower costs, higher accuracy pertaining to medical decisions and diagnosis to improve patient health outcomes.
With an estimated valuation of $15.1 billion for the global market in 2022, AI in healthcare is an irreversible process that is already reshaping medicine and...
Digital health and telehealth have been around for some time, but it’s only with the COVID-19 pandemic that their adoption has made a big leap forward.
Used at the beginning of the pandemic mainly in the form of videoconferences and telemedicine, remote patient monitoring (RPM) is currently adopted by an increased number of physicians and sustained by several reimbursement policies issued by...
Digital technologies have filtered into nearly every facet of medicine, from drug discovery all the way to consumer fitness. But digital health isn't the only relative newcomer that could disrupt the status quo in health. The precision genomics space is also growing in popularity and use.
What is precision genomics, and how will this space work with digital health?
Precision genomics medicine...
Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of healthcare through machine learning (ML) and natural language processing (NLP).
Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing information...
New technology developments have enabled healthcare advances in 3D printing with an estimated $6.08 billion by 2027 in terms of software, hardware, services and materials. The technology has given a boost to customized medicine, allowing a more accurate understanding of patient symptoms and treatment, and generating increased efficiency in the operating room (OR). Advent of 3D printing technology...
Artificial intelligence (AI) is reshaping healthcare, and its use is becoming a reality in many medical fields and specialties. AI, machine learning (ML), natural language processing (NLP) and deep learning (DL) enable healthcare stakeholders and medical professionals to identify healthcare needs and solutions faster with more accuracy, using data patterns to make informed medical or business...
What if with a simple analysis of your voice, technology could detect the potential of current or future illnesses? The modifications in voice, usually undetectable by human hearing, are now being researched to find early signs of health issues.
Patients affected by Parkinson’s disease for example experience loss of voice volume and begin to speak with haste. In schizophrenia, the words in...
The Internet of Things (IoT), also known as the ecosystem of connected devices that collects and transmits data from users and their environments, is impacting the world. Smart phones, laptops and any equipment in general owned by a user can help various industries understand consumer behaviors and develop better technology.
This network of devices is leaving its footprint in healthcare. In the...
Maternal and child health are critical for digital solutions that positively impact pregnancy outcomes. As early as 2016, this category of app saw approximately 200 million downloads as the broader consumer marketplace looked to smartphone trackers for fertility and maternity education.
While the COVID-19 pandemic has added an additional reason to have care online that avoids an in-person...
About the author: Dr. Liz Kwo is currently the staff VP of clinical data analytics at Anthem and a faculty lecturer at Harvard Medical School who previously cofounded and served as CEO of telemedicine second opinion company InfiniteMD. She received an MD from Harvard Medical School, an MBA from Harvard Business School and an MPH from the Harvard T.H. Chan School of Public Health.
Digital health...
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