[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …
algorithms, hardware implementation, and applications in a vast number of areas. In this …
The impact of machine learning on patient care: a systematic review
Background Despite the expanding use of machine learning (ML) in fields such as finance
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
An introduction and overview of machine learning in neurosurgical care
JT Senders, MM Zaki, AV Karhade, B Chang… - Acta …, 2018 - Springer
Background Machine learning (ML) is a branch of artificial intelligence that allows computers
to learn from large complex datasets without being explicitly programmed. Although ML is …
to learn from large complex datasets without being explicitly programmed. Although ML is …
Robotics applications in facial plastic surgeries
E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
Robotics applications in facial plastic surgery has been practical and observed to have
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …
A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery
Current computational tools for planning and simulation in plastic and reconstructive surgery
lack sufficient precision and are time-consuming, thus resulting in limited adoption. Although …
lack sufficient precision and are time-consuming, thus resulting in limited adoption. Although …
The novel emergency hospital services for patients using digital twins
The Digital twins will duplicate the actual objects, create the virtual world and execute using
IoT devices and Sensors. The Emergency Room Service (ERS) is a critical phase for …
IoT devices and Sensors. The Emergency Room Service (ERS) is a critical phase for …
Artificial intelligence in plastic surgery: current applications, future directions, and ethical implications
T Jarvis, D Thornburg, AM Rebecca… - … Surgery–Global Open, 2020 - journals.lww.com
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 …
of research due to the rapid progression of technology, which has allowed the growth of …
Machine learning and surgical outcomes prediction: a systematic review
Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …
quantitatively analyze the growing and complex medical data to improve individualized …
From precision education to precision medicine
Precision medicine has become an essential issue in the medical community as the quality
of medical care is being emphasized nowadays. The technological data analysis and …
of medical care is being emphasized nowadays. The technological data analysis and …
Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement
Background Early identification of critically ill patients who will require prolonged
mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use …
mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use …