[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies

G Rong, A Mendez, EB Assi, B Zhao, M Sawan - Engineering, 2020 - Elsevier
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 …

The impact of machine learning on patient care: a systematic review

D Ben-Israel, WB Jacobs, S Casha, S Lang… - Artificial intelligence in …, 2020 - Elsevier
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 …

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 …

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 …

A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery

PGM Knoops, A Papaioannou, A Borghi… - Scientific reports, 2019 - nature.com
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 …

The novel emergency hospital services for patients using digital twins

R Aluvalu, S Mudrakola, AC Kaladevi… - Microprocessors and …, 2023 - Elsevier
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 …

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 …

Machine learning and surgical outcomes prediction: a systematic review

O Elfanagely, Y Toyoda, S Othman, JA Mellia… - Journal of Surgical …, 2021 - Elsevier
Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …

From precision education to precision medicine

HC Lin, YF Tu, GJ Hwang, H Huang - Educational Technology & Society, 2021 - JSTOR
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 …

Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement

J Parreco, A Hidalgo, JJ Parks, R Kozol… - journal of surgical …, 2018 - Elsevier
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 …