[HTML][HTML] 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] A guide to deep learning in healthcare

A Esteva, A Robicquet, B Ramsundar, V Kuleshov… - Nature medicine, 2019 - nature.com
Here we present deep-learning techniques for healthcare, centering our discussion on deep
learning in computer vision, natural language processing, reinforcement learning, and …

[HTML][HTML] Computer vision in surgery: from potential to clinical value

P Mascagni, D Alapatt, L Sestini, MS Altieri… - npj Digital …, 2022 - nature.com
Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …

[HTML][HTML] Machine learning for technical skill assessment in surgery: a systematic review

K Lam, J Chen, Z Wang, FM Iqbal, A Darzi, B Lo… - NPJ digital …, 2022 - nature.com
Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …

Computer vision in surgery

TM Ward, P Mascagni, Y Ban, G Rosman, N Padoy… - Surgery, 2021 - Elsevier
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

[HTML][HTML] Automation of surgical skill assessment using a three-stage machine learning algorithm

JL Lavanchy, J Zindel, K Kirtac, I Twick, E Hosgor… - Scientific reports, 2021 - nature.com
Surgical skills are associated with clinical outcomes. To improve surgical skills and thereby
reduce adverse outcomes, continuous surgical training and feedback is required. Currently …

[HTML][HTML] Intelligent health care: Applications of deep learning in computational medicine

S Yang, F Zhu, X Ling, Q Liu, P Zhao - Frontiers in Genetics, 2021 - frontiersin.org
With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

[HTML][HTML] 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 …

[HTML][HTML] Video-based surgical skill assessment using 3D convolutional neural networks

I Funke, ST Mees, J Weitz, S Speidel - International journal of computer …, 2019 - Springer
Purpose A profound education of novice surgeons is crucial to ensure that surgical
interventions are effective and safe. One important aspect is the teaching of technical skills …

[HTML][HTML] Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis

R Anteby, N Horesh, S Soffer, Y Zager, Y Barash… - Surgical …, 2021 - Springer
Background In the past decade, deep learning has revolutionized medical image
processing. This technique may advance laparoscopic surgery. Study objective was to …