A decade retrospective of medical robotics research from 2010 to 2020

PE Dupont, BJ Nelson, M Goldfarb, B Hannaford… - Science robotics, 2021 - science.org
Robotics is a forward-looking discipline. Attention is focused on identifying the next grand
challenges. In an applied field such as medical robotics, however, it is important to plan the …

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] Surgical data science–from concepts toward clinical translation

L Maier-Hein, M Eisenmann, D Sarikaya, K März… - Medical image …, 2022 - Elsevier
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

[HTML][HTML] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward

E Elyan, P Vuttipittayamongkol, P Johnston… - Artificial Intelligence …, 2022 - oaepublish.com
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

A new era: artificial intelligence and machine learning in prostate cancer

SL Goldenberg, G Nir, SE Salcudean - Nature Reviews Urology, 2019 - nature.com
Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and resha** our health-care …

Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks

A **, S Yeung, J Jopling, J Krause… - 2018 IEEE winter …, 2018 - ieeexplore.ieee.org
Five billion people in the world lack access to quality surgical care. Surgeon skill varies
dramatically, and many surgical patients suffer complications and avoidable harm …

Artificial intelligence surgery: How do we get to autonomous actions in surgery?

AA Gumbs, I Frigerio, G Spolverato, R Croner, A Illanes… - Sensors, 2021 - mdpi.com
Most surgeons are skeptical as to the feasibility of autonomous actions in surgery.
Interestingly, many examples of autonomous actions already exist and have been around for …

[HTML][HTML] Artificial intelligence in surgery: the future is now

A Guni, P Varma, J Zhang, M Fehervari… - European Surgical …, 2024 - karger.com
Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …

[HTML][HTML] A systematic review on artificial intelligence in robot-assisted surgery

A Moglia, K Georgiou, E Georgiou, RM Satava… - International Journal of …, 2021 - Elsevier
Background Despite the extensive published literature on the significant potential of artificial
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …

Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …