{"id":14033,"date":"2023-10-05T17:51:07","date_gmt":"2023-10-05T15:51:07","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=14033"},"modified":"2024-01-05T13:36:24","modified_gmt":"2024-01-05T12:36:24","slug":"deep-learning-in-surgical-robotics","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/deep-learning-in-surgical-robotics\/","title":{"rendered":"Deep Learning in Surgical Robotics"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Sabina Kami\u0144ska<\/h2>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The integration of deep learning techniques into surgical robotics has opened up new possibilities for enhancing surgical procedures by automating repetitive and precise subtasks. This project aims to leverage deep learning algorithms to develop a viable solution for automating subtasks within the context of Minimally Invasive Surgery (MIS).&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">By automating recurring subtasks, surgeons can focus on critical decision-making and complex maneuvers, resulting in improved patient care.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">This project focuses on training DRL algorithms in virtual environments, with the ultimate goal of transferring the learned policies to real-world surgical settings. By using virtual environments as a training ground, this project aims to accelerate the development of intelligent robotic systems capable of enhancing surgical outcomes and safety.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"426\" height=\"288\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu7.jpg\" alt=\"\" class=\"wp-image-14034\" style=\"width:552px;height:373px\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu7.jpg 426w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu7-300x203.jpg 300w\" sizes=\"auto, (max-width: 426px) 100vw, 426px\" \/><\/figure>\n<\/div>\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Figure: The virtual scene used to simulate the tissue retraction task during a partial nephrectomy procedure.&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Source: https:\/\/ieeexplore.ieee.org\/document\/9636175.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The integration of deep learning techniques into surgical robotics has opened up new possibilities for enhancing surgical procedures by automating repetitive and precise subtasks.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[17],"class_list":["post-14033","research","type-research","status-publish","hentry","research_type-research-topics","research_team-health-informatics-group-higs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - 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This project aims to leverage deep learning algorithms to develop a viable solution for automating subtasks within the context of Minimally Invasive Surgery (MIS).&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The integration of deep learning techniques into surgical robotics has opened up new possibilities for enhancing surgical procedures by automating repetitive and precise subtasks. This project aims to leverage deep learning algorithms to develop a viable solution for automating subtasks within the context of Minimally Invasive Surgery (MIS).&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-e8krry","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">By automating recurring subtasks, surgeons can focus on critical decision-making and complex maneuvers, resulting in improved patient care.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">By automating recurring subtasks, surgeons can focus on critical decision-making and complex maneuvers, resulting in improved patient care.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-nytCbJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">This project focuses on training DRL algorithms in virtual environments, with the ultimate goal of transferring the learned policies to real-world surgical settings. By using virtual environments as a training ground, this project aims to accelerate the development of intelligent robotic systems capable of enhancing surgical outcomes and safety.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This project focuses on training DRL algorithms in virtual environments, with the ultimate goal of transferring the learned policies to real-world surgical settings. By using virtual environments as a training ground, this project aims to accelerate the development of intelligent robotic systems capable of enhancing surgical outcomes and safety.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-C3Pss8","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"align":"center","id":14034,"width":552,"height":373,"sizeSlug":"full","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-E2PJwQ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-full is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu7.jpg\" alt=\"\" class=\"wp-image-14034\" style=\"width:552px;height:373px\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-full is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu7.jpg\" alt=\"\" class=\"wp-image-14034\" style=\"width:552px;height:373px\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-57YUAz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Ua7tuU","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Figure: The virtual scene used to simulate the tissue retraction task during a partial nephrectomy procedure.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Figure: The virtual scene used to simulate the tissue retraction task during a partial nephrectomy procedure.&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-fgEvwP","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Source: https:\/\/ieeexplore.ieee.org\/document\/9636175.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Source: https:\/\/ieeexplore.ieee.org\/document\/9636175.<\/p>\n"]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14033","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":3,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14033\/revisions"}],"predecessor-version":[{"id":14664,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14033\/revisions\/14664"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=14033"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=14033"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=14033"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}