[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 …

Artificial intelligence in colorectal cancer surgery: present and future perspectives

G Quero, P Mascagni, FR Kolbinger, C Fiorillo… - Cancers, 2022 - mdpi.com
Simple Summary Computer vision (CV) is a field of artificial intelligence (AI) that deals with
the automatic analysis of videos and images. Recent advances in AI and CV methods …

Battle royale optimizer for training multi-layer perceptron

S Agahian, T Akan - Evolving Systems, 2022 - Springer
Artificial neural network (ANN) is one of the most successful tools in machine learning. The
success of ANN mostly depends on its architecture and learning procedure. Multi-layer …

Artificial Intelligence in Surgery

M D'Oria, P Mascagni, I Boškoski, N Padoy… - … Medicine Meets Artificial …, 2023 - Springer
Modern surgery is a highly effective sociotechnical process susceptible to errors. Surgical
data science is a novel transdisciplinary research field aiming at improving surgical care …

Ocean Modeling Analysis and Modeling Based on Deep Learning

MH Niu, JH Cho - Mobile Information Systems, 2022 - Wiley Online Library
The ocean comprises an uninterrupted body of salt water confined within a vast basin on the
earth's surface. The ocean is the largest ecosystem on earth with rich and diverse biological …

Surgical Phase Recognition Using Videos: Deep Neural Network Approach

V Bansod, A Ambhaikar - … of Research on Artificial Intelligence and …, 2024 - taylorfrancis.com
Phase recognition has been studied in several surgical contexts, including cataracts,
neurological, laparoscopic surgery, and using endoscopic video. In surgical phase …

[PDF][PDF] The challenges of deep learning in artificial intelligence and autonomous actions in surgery

H Taher, V Grasso, S Tawfik, A Gumbs - 2022 - f.oaes.cc
Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in
surgery. This article reviews important terms used in machine learning and the challenges of …

Forecasting stock indices using machine learning methods

SA Sargisovic - 2021 - dspace.spbu.ru
In the final qualifying work, 2 approaches of solving the problem of forecasting stock index
changes are considered: autoregressive and neural network. The forecasting problem was …

Aprendizado por reforço com aproximadores não lineares aplicados a jogos eletrônicos

LH Cano - 2019 - pantheon.ufrj.br
A Inteligência Artificial tem se tornado cada vez mais importante no mundo atual e o
Aprendizado por Reforço tem ocupado uma área de destaque. No entanto, ainda há …