Introduction An increasing quantity of data is required to guide precision medicine and
advance future healthcare practices, but current analytical methods often become …

Background: Artificial intelligence (AI) in healthcare delivery has become an important area
of research due to the rapid progression of technology, which has allowed the growth of …

Precision medicine, or the individualization of evidence-based medicine, is forthcoming. As
surgeons, we must be prepared for the integration of patient and system factors. Plastic …

Background: Artificial intelligence (AI) is presently employed in several medical specialties,
particularly those that rely on large quantities of standardized data. The integration of AI in …

Background Machine learning is a set of models and methods that can automatically detect
patterns in vast amounts of data, extract information, and use it to perform decision-making …

Understanding the intersection of technology and plastic surgery has been and will be
essential to positioning plastic surgeons at the forefront of surgical innovation. This account …

Driven by the rapid development of big data, the amount of clinical data, including complex
information, is expanding. Traditional data analysis methods cannot meet the need for …

Artificial intelligence (AI) has been a disruptive technology within healthcare from the
development of simple care algorithms to complex deep learning models. Importantly, AI has …

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 …

Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …