Deep learning-enabled medical computer vision

A Esteva, K Chou, S Yeung, N Naik, A Madani… - NPJ digital …, 2021 - nature.com
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

[HTML][HTML] Application scenarios for artificial intelligence in nursing care: rapid review

K Seibert, D Domhoff, D Bruch, M Schulte-Althoff… - Journal of medical …, 2021 - jmir.org
Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Graph neural networks in IoT: A survey

G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai… - ACM Transactions on …, 2023 - dl.acm.org
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Artificial intelligence and surgical decision-making

TJ Loftus, PJ Tighe, AC Filiberto, PA Efron… - JAMA …, 2020 - jamanetwork.com
Importance Surgeons make complex, high-stakes decisions under time constraints and
uncertainty, with significant effect on patient outcomes. This review describes the …

[HTML][HTML] Predicted influences of artificial intelligence on the domains of nursing: sco** review

C Buchanan, ML Howitt, R Wilson, RG Booth… - JMIR …, 2020 - nursing.jmir.org
Background Artificial intelligence (AI) is set to transform the health system, yet little research
to date has explored its influence on nurses—the largest group of health professionals …

Illuminating the dark spaces of healthcare with ambient intelligence

A Haque, A Milstein, L Fei-Fei - Nature, 2020 - nature.com
Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Exploring the potential of distributed computing continuum systems

PK Donta, I Murturi, V Casamayor Pujol, B Sedlak… - Computers, 2023 - mdpi.com
Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …

Predicting clinical outcomes using artificial intelligence and machine learning in neonatal intensive care units: a systematic review

RM McAdams, R Kaur, Y Sun, H Bindra, SJ Cho… - Journal of …, 2022 - nature.com
Background Advances in technology, data availability, and analytics have helped improve
quality of care in the neonatal intensive care unit. Objective To provide an in-depth review of …

The role of artificial intelligence in management of critical COVID-19 patients

S Rahmatizadeh, S Valizadeh-Haghi… - Journal of Cellular & …, 2020 - brieflands.com
: Background: the COVID-19 outbreak has created a great challenge for the healthcare
system worldwide. One of the most critical points of this challenge is the management of …

Artificial intelligence in the neonatal intensive care unit: the time is now

K Beam, P Sharma, P Levy, AL Beam - Journal of Perinatology, 2024 - nature.com
Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit
(NICU) care by leveraging the large-scale, high-dimensional data that are generated by …