Artificial intelligence in surgery: promises and perils

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Items 201–300 of 1,000

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2. Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register
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6. Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning
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7. Deep Learning for Natural Language Processing in Urology: State-of-the-Art Automated Extraction of Detailed Pathologic Prostate Cancer Data From Narratively Written Electronic Health Records
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8. Concordance Rate between Clinicians and Watson for Oncology among Patients with Advanced Gastric Cancer: Early, Real-World Experience in Korea
   Youn I Choi, Jun‐Won Chung, Kyoung Oh Kim, Kwang An Kwon, Yoon Jae Kim, Dong Kyun Park, Sung‐Min Ahn, So Hyun Park, Sun Jin Sym, Dong Bok Shin et al. · 2019 · Canadian Journal of Gastroenterology and Hepatology
9. Minimally invasive gastrointestinal surgery: From past to the future
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10. Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework
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11. Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
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13. Surgical training fit for the future: the need for a change
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14. Artificial intelligence for renal cancer: From imaging to histology and beyond
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15. Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network–Based Instance Segmentation and Videos of Laparoscopic Procedures
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16. Machine Learning and Evidence-Based Medicine
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18. Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning–Driven Approach
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19. Current applications of artificial intelligence in vascular surgery
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20. Artificial intelligence: A new tool in surgeon's hand
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21. Machine learning versus logistic regression for the prediction of complications after pancreatoduodenectomy
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23. Ensemble deep learning for the prediction of proficiency at a virtual simulator for robot-assisted surgery
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24. Artificial intelligence in orthopaedics surgery: transforming technological innovation in patient care and surgical training
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25. Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm
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26. Value assessment of artificial intelligence in medical imaging: a scoping review
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27. Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction
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28. Artificial Intelligence in Ophthalmic Surgery: Current Applications and Expectations
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29. Performance of artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in the American Society for Metabolic and Bariatric Surgery textbook of bariatric surgery questions
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30. Three-dimensional acquisition technologies for facial soft tissues – Applications and prospects in orthognathic surgery
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31. The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review
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34. Current applications of artificial intelligence-based computer vision in laparoscopic surgery
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35. Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images
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36. AI-powered real-time annotations during urologic surgery: The future of training and quality metrics
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37. Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI)
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38. Exploring the Potential of Artificial Intelligence in Surgery: Insights from a Conversation with ChatGPT
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39. Artificial Intelligence in Medical OSCEs: Reflections and Future Developments
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40. Artificial Intelligence for Emerging Technology in Surgery: Systematic Review and Validation
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41. Ethical concerns around privacy and data security in AI health monitoring for Parkinson’s disease: insights from patients, family members, and healthcare professionals
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42. Artificial intelligence in cardiothoracic surgery
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43. Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma
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44. The future of Cardiothoracic surgery in Artificial intelligence
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45. Robotics in Plastic Surgery: It’s Here
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46. Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review
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47. Utilizing multimodal artificial intelligence to advance cardiovascular diseases
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48. The digital surgeon: How big data, automation, and artificial intelligence will change surgical practice
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49. Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
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50. A Guide to Annotation of Neurosurgical Intraoperative Video for Machine Learning Analysis and Computer Vision
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51. A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty
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52. Artificial Neural Networks in Lung Cancer Research: A Narrative Review
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53. Protecting patient safety and privacy in the era of artificial intelligence
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54. Machine Learning Applications in Solid Organ Transplantation and Related Complications
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56. Influence of bone density on the accuracy of artificial intelligence–guided implant surgery: An in vitro study
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57. Artificial intelligence in patient-specific hand surgery: a scoping review of literature
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58. The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery
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59. Performance gains from adaptive eXtended Reality training fueled by artificial intelligence
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60. White paper: definitions of artificial intelligence and autonomous actions in clinical surgery
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61. Artificial Intelligence in the Intensive Care Unit: Current Evidence on an Inevitable Future Tool
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62. The ethical considerations of integrating artificial intelligence into surgery: a review
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63. Artificial Intelligence
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64. Objective assessment of surgical operative performance by observational clinical human reliability analysis (OCHRA): a systematic review
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65. The role of artificial intelligence in the application of the integrated electronic health records and patient-generated health data
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66. SurgSmart: an artificial intelligent system for quality control in laparoscopic cholecystectomy: an observational study
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67. Concept Graph Neural Networks for Surgical Video Understanding
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68. Current Applications of Artificial Intelligence in Billing Practices and Clinical Plastic Surgery
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69. Artificial Intelligence Applications in Gastric Cancer Surgery: Bridging Early Diagnosis and Responsible Precision Medicine
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70. Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence
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71. Executive summary of the artificial intelligence in surgery series
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72. Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review
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73. Artificial intelligence in heavy metals detection: Methodological and ethical challenges
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74. Artificial Intelligence-Based Prediction of Lower Extremity Deep Vein Thrombosis Risk After Knee/Hip Arthroplasty
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75. Adoption of routine surgical video recording: a nationwide freedom of information act request across England and Wales
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76. Artificial Intelligence and its role in surgical care in low-income and middle-income countries
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77. How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review
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79. Artificial intelligence in pediatric surgery
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80. Systematic review of machine-learning models in orthopaedic trauma
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83. SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
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84. Accuracy and efficiency of an artificial intelligence-based pulmonary broncho-vascular three-dimensional reconstruction system supporting thoracic surgery: retrospective and prospective validation study
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86. Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review
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87. Artificial intelligence and robotic surgical education
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88. The Use of Artificial Intelligence for Cancer Therapeutic Decision-Making
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89. Deep Learning Application in Spinal Implant Identification
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90. Surgical Sabermetrics: Applying Athletics Data Science to Enhance Operative Performance
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91. The Effectiveness of Machine Learning in Predicting Lateral Lymph Node Metastasis From Lower Rectal Cancer: A Single Center Development and Validation Study
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92. Artificial intelligence, regenerative surgery, robotics? What is realistic for the future of surgery?
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93. Artificial intelligence in surgery: the emergency surgeon’s perspective (the ARIES project)
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94. The use of artificial intelligence to aid in oral hygiene education: A scoping review
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95. Accuracy of Artificial Intelligence in Predicting Facial Changes Post-Orthognathic Surgery: A Comprehensive Scoping Review
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96. The Future of Artificial Intelligence in Surgery
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97. Surgical procedural map scoring for decision-making in laparoscopic cholecystectomy
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98. Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and Characterisation in Endoscopy and Laparoscopy
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99. A Primer on the Use of Artificial Intelligence in Spine Surgery
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100. Role of Artificial Intelligence and Machine Learning in Interventional Cardiology
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