Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact …

Z Ahmad, S Rahim, M Zubair, J Abdul-Ghafar - Diagnostic pathology, 2021 - Springer
Abstract Background The role of Artificial intelligence (AI) which is defined as the ability of
computers to perform tasks that normally require human intelligence is constantly …

A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches

J Han, J Davids, H Ashrafian, A Darzi… - … Journal of Medical …, 2022 - Wiley Online Library
Background From traditional open surgery to laparoscopic surgery and robot‐assisted
surgery, advances in robotics, machine learning, and imaging are pushing the surgical …

Innovations in Urban Green and Blue Infrastructure: Tackling local and global challenges in cities

JAP de Oliveira, RA Bellezoni, W Shih… - Journal of Cleaner …, 2022 - Elsevier
Traditional engineering approaches alone (gray infrastructure) are not able to meet all the
challenges of sustainability posed by growing urban population and consumption. Urban …

Robotics and ai for teleoperation, tele-assessment, and tele-training for surgery in the era of covid-19: Existing challenges, and future vision

N Feizi, M Tavakoli, RV Patel… - Frontiers in Robotics and AI, 2021 - frontiersin.org
The unprecedented shock caused by the COVID-19 pandemic has severely influenced the
delivery of regular healthcare services. Most non-urgent medical activities, including elective …

Enhancing trust in AI through industry self-governance

J Roski, EJ Maier, K Vigilante, EA Kane… - Journal of the …, 2021 - academic.oup.com
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health
and healthcare data. Expectations are high for AI solutions to effectively address current …

[HTML][HTML] The fourth industrial revolution and the coronavirus: a new era catalyzed by a virus

RCS Neto, JS Maia, S de Silva Neiva, MD Scalia… - Research in …, 2020 - Elsevier
The global pandemic caused by the new coronavirus, COVID 19, has disrupted the lives of
most people on the planet. The magnitude of such disruption can only be compared to those …

Digital phenotyping and patient-generated health data for outcome measurement in surgical care: a scoping review

P Jayakumar, E Lin, V Galea, AJ Mathew… - Journal of Personalized …, 2020 - mdpi.com
Digital phenotyping—the moment-by-moment quantification of human phenotypes in situ
using data related to activity, behavior, and communications, from personal digital devices …

Using machine learning for pharmacovigilance: a systematic review

P Pilipiec, M Liwicki, A Bota - Pharmaceutics, 2022 - mdpi.com
Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug
reactions to existing medicines. Traditional approaches in this field can be expensive and …

Augmented intelligence in pediatric anesthesia and pediatric critical care

M Görges, JM Ansermino - Current Opinion in Anesthesiology, 2020 - journals.lww.com
Most studies focusing on artificial intelligence demonstrate good performance on prediction
or classification, whether they use traditional statistical tools or novel machine-learning …

[PDF][PDF] Intelligent Big Data System Based on Scientific Machine Learning of Cyber-physical Systems of Medical and Biological Processes.

VP Martsenyuk, A Klos-Witkowska, A Sverstiuk… - CMIS, 2021 - ceur-ws.org
The work focuses on developing a Big Data system allowing us to process medical data
intelligently, which are ingested from different sources and of various types. It aims to design …