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 …

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] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions

Y Habchi, Y Himeur, H Kheddar, A Boukabou, S Atalla… - Systems, 2023 - mdpi.com
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience …

F Wang, WK Wong, Z Wang, G Albasher, N Alsultan… - Resources Policy, 2023 - Elsevier
Innovation has always been a key factor in economic growth. But with the increasing
pressure on natural resources, it has become even more crucial to understand the …

Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review

R Pedrett, P Mascagni, G Beldi, N Padoy… - Surgical endoscopy, 2023 - Springer
Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …

Automatic surgical skill assessment system based on concordance of standardized surgical field development using artificial intelligence

T Igaki, D Kitaguchi, H Matsuzaki, K Nakajima… - JAMA …, 2023 - jamanetwork.com
Importance Automatic surgical skill assessment with artificial intelligence (AI) is more
objective than manual video review–based skill assessment and can reduce human burden …

Using AI and computer vision to analyze technical proficiency in robotic surgery

JH Yang, ED Goodman, AJ Dawes, JV Gahagan… - Surgical …, 2023 - Springer
Background Intraoperative skills assessment is time-consuming and subjective; an efficient
and objective computer vision-based approach for feedback is desired. In this work, we aim …

[HTML][HTML] Deep learning in hepatocellular carcinoma: Current status and future perspectives

JC Ahn, TA Qureshi, AG Singal, D Li… - World journal of …, 2021 - ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and
death. Despite decades of research and development of new treatment options, the overall …

Deep learning based image processing for robot assisted surgery: a systematic literature survey

SM Hussain, A Brunetti, G Lucarelli, R Memeo… - IEEE …, 2022 - ieeexplore.ieee.org
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

Automated capture of intraoperative adverse events using artificial intelligence: a systematic review and meta-analysis

MB Eppler, AS Sayegh, M Maas, A Venkat… - Journal of Clinical …, 2023 - mdpi.com
Intraoperative adverse events (iAEs) impact the outcomes of surgery, and yet are not
routinely collected, graded, and reported. Advancements in artificial intelligence (AI) have …