[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review

U Saeed, SY Shah, J Ahmad, MA Imran… - Journal of …, 2022 - Elsevier
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …

The future of Cardiothoracic surgery in Artificial intelligence

H Mumtaz, M Saqib, F Ansar, D Zargar… - Annals of Medicine …, 2022 - journals.lww.com
Humans' great and quick technological breakthroughs in the previous decade have
undoubtedly influenced how surgical procedures are executed in the operating room. AI is …

[HTML][HTML] Artificial intelligence in thoracic surgery: a narrative review

V Bellini, M Valente, P Del Rio… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Objective The aim of this article is to review the current applications of artificial intelligence in
thoracic surgery, from diagnosis and pulmonary disease management, to preoperative risk …

[HTML][HTML] Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET)

JY Wen, CF Liu, MT Chung, YC Tsai - Taiwanese Journal of Obstetrics and …, 2022 - Elsevier
Objective To decrease multiple pregnancy risk and sustain optimal pregnancy chance by
choosing suitable number of embryos during transfer, this study aims to construct artificial …

Development of an interactive ai system for the optimal timing prediction of successful weaning from mechanical ventilation for patients in respiratory care centers

KM Liao, SC Ko, CF Liu, KC Cheng, CM Chen, MI Sung… - Diagnostics, 2022 - mdpi.com
Successful weaning from prolonged mechanical ventilation (MV) is an important issue in
respiratory care centers (RCCs). Delayed or premature extubation increases both the risk of …

An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: a two-stage prediction approach

CF Liu, CM Hung, SC Ko, KC Cheng, CM Chao… - Frontiers in …, 2022 - frontiersin.org
Background For the intensivists, accurate assessment of the ideal timing for successful
weaning from the mechanical ventilation (MV) in the intensive care unit (ICU) is very …

Implementing a novel machine learning system for nutrition education in diabetes mellitus nutritional clinic: predicting 1-year blood glucose control

MY Liu, CF Liu, TC Lin, YS Ma - Bioengineering, 2023 - mdpi.com
(1) Background: Persistent hyperglycemia in diabetes mellitus (DM) increases the risk of
death and causes cardiovascular disease (CVD), resulting in significant social and …

the critical factors affecting the deployment and scaling of healthcare AI: viewpoint from an experienced medical center

CF Liu, CC Huang, JJ Wang, KM Kuo, CJ Chen - Healthcare, 2021 - mdpi.com
Healthcare Artificial Intelligence (AI) has the greatest opportunity for development. Since
healthcare and technology are two of Taiwan's most competitive industries, the development …

Biosignal-based digital biomarkers for prediction of ventilator weaning success

JE Park, TY Kim, YJ Jung, C Han, CM Park… - International Journal of …, 2021 - mdpi.com
We evaluated new features from biosignals comprising diverse physiological response
information to predict the outcome of weaning from mechanical ventilation (MV). We enrolled …

[HTML][HTML] Sugammadex induced bradycardia and hypotension: a case report and literature review

IC Teng, YJ Chang, YT Lin, CC Chu, JY Chen, ZF Wu - Medicine, 2021 - journals.lww.com
Interventions: The patient received immediate treatment with atropine (0.5 mg) for
bradycardia. Glycopyrrolate (0.1 mg) and neostigmine (1 mg) were administered to improve …