Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery
Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and po...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-07-01
|
| Series: | World Neurosurgery: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590139724000322 |
| _version_ | 1797233961110339584 |
|---|---|
| author | Wireko Andrew Awuah Favour Tope Adebusoye Jack Wellington Lian David Abdus Salam Amanda Leong Weng Yee Edouard Lansiaux Rohan Yarlagadda Tulika Garg Toufik Abdul-Rahman Jacob Kalmanovich Goshen David Miteu Mrinmoy Kundu Nikitina Iryna Mykolaivna |
| author_facet | Wireko Andrew Awuah Favour Tope Adebusoye Jack Wellington Lian David Abdus Salam Amanda Leong Weng Yee Edouard Lansiaux Rohan Yarlagadda Tulika Garg Toufik Abdul-Rahman Jacob Kalmanovich Goshen David Miteu Mrinmoy Kundu Nikitina Iryna Mykolaivna |
| author_sort | Wireko Andrew Awuah |
| collection | DOAJ |
| description | Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning. |
| first_indexed | 2024-04-24T16:24:29Z |
| format | Article |
| id | doaj.art-4444eded15f94c82aa9ba7c99399d63f |
| institution | Directory Open Access Journal |
| issn | 2590-1397 |
| language | English |
| last_indexed | 2024-04-24T16:24:29Z |
| publishDate | 2024-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | World Neurosurgery: X |
| spelling | doaj.art-4444eded15f94c82aa9ba7c99399d63f2024-03-31T04:37:56ZengElsevierWorld Neurosurgery: X2590-13972024-07-0123100301Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in NeurosurgeryWireko Andrew Awuah0Favour Tope Adebusoye1Jack Wellington2Lian David3Abdus Salam4Amanda Leong Weng Yee5Edouard Lansiaux6Rohan Yarlagadda7Tulika Garg8Toufik Abdul-Rahman9Jacob Kalmanovich10Goshen David Miteu11Mrinmoy Kundu12Nikitina Iryna Mykolaivna13Sumy State University, Sumy, United Kingdom; Corresponding author.Sumy State University, Sumy, United Kingdom; Corresponding author. Faculty of Medicine, Sumy State University, Sanatorna St, 31, Sumy, Sumy Oblast, 40000, Ukraine.Cardiff University School of Medicine, Cardiff University, Wales, United KingdomNorwich Medical School, University of East Anglia, United KingdomDepartment of Surgery, Khyber Teaching Hospital, Peshawar, PakistanUniversity of Malaya, Kuala Lumpur, MalaysiaLille University School of Medicine, Lille, FranceRowan University School of Osteopathic Medicine, Stratford, NJ, USAGovernment Medical College and Hospital Chandigarh, IndiaSumy State University, Sumy, United KingdomDrexel University College of Medicine, Philadelphia, PA, USASchool of Bioscience, University of Nottingham, England, United KingdomInstitute of Medical Sciences and SUM Hospital, Bhubaneswar, IndiaSumy State University, Sumy, United KingdomNeurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning.http://www.sciencedirect.com/science/article/pii/S2590139724000322NeurosurgeryArtificial intelligenceMachine learningDeep learningVirtual reality |
| spellingShingle | Wireko Andrew Awuah Favour Tope Adebusoye Jack Wellington Lian David Abdus Salam Amanda Leong Weng Yee Edouard Lansiaux Rohan Yarlagadda Tulika Garg Toufik Abdul-Rahman Jacob Kalmanovich Goshen David Miteu Mrinmoy Kundu Nikitina Iryna Mykolaivna Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery World Neurosurgery: X Neurosurgery Artificial intelligence Machine learning Deep learning Virtual reality |
| title | Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery |
| title_full | Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery |
| title_fullStr | Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery |
| title_full_unstemmed | Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery |
| title_short | Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery |
| title_sort | recent outcomes and challenges of artificial intelligence machine learning and deep learning in neurosurgery |
| topic | Neurosurgery Artificial intelligence Machine learning Deep learning Virtual reality |
| url | http://www.sciencedirect.com/science/article/pii/S2590139724000322 |
| work_keys_str_mv | AT wirekoandrewawuah recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT favourtopeadebusoye recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT jackwellington recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT liandavid recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT abdussalam recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT amandaleongwengyee recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT edouardlansiaux recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT rohanyarlagadda recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT tulikagarg recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT toufikabdulrahman recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT jacobkalmanovich recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT goshendavidmiteu recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT mrinmoykundu recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery AT nikitinairynamykolaivna recentoutcomesandchallengesofartificialintelligencemachinelearninganddeeplearninginneurosurgery |