Early detection of cancer
Survival improves when cancer is detected early. However,~ 50% of cancers are at an
advanced stage when diagnosed. Early detection of cancer or precancerous change allows …
advanced stage when diagnosed. Early detection of cancer or precancerous change allows …
IoT for smart cities: Machine learning approaches in smart healthcare—A review
Smart city is a collective term for technologies and concepts that are directed toward making
cities efficient, technologically more advanced, greener and more socially inclusive. These …
cities efficient, technologically more advanced, greener and more socially inclusive. These …
Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive
abilities and to address difficult healthcare challenges including complex biological …
abilities and to address difficult healthcare challenges including complex biological …
[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
[HTML][HTML] Role of artificial intelligence in patient safety outcomes: systematic literature review
A Choudhury, O Asan - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …
patients and thus influence patient safety outcomes. Objective: The purpose of this …
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare
In 2020, the US Department of Defense officially disclosed a set of ethical principles to guide
the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark …
the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark …
Artificial intelligence in surgery: promises and perils
Objective: The aim of this review was to summarize major topics in artificial intelligence (AI),
including their applications and limitations in surgery. This paper reviews the key …
including their applications and limitations in surgery. This paper reviews the key …
[HTML][HTML] Clinical text data in machine learning: systematic review
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …
care, providing a personalized account of patient history and assessments, and offering rich …
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …