165 results on '"Cacciamani, Giovanni E."'
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2. Accuracy, readability, and understandability of large language models for prostate cancer information to the public
3. PD36-11 A NOVEL LIGHTWEIGHT MACHINE LEARNING MODEL FOR AUTOMATED RECLASSIFICATION OF THE INDEX LESION ON BIPARAMETRIC PROSTATE MRI
4. PD39-12 FOLLOW-UP MODALITIES AFTER FOCAL THERAPY FOR CLINICALLY LOCALIZED PROSTATE CANCER: MRI, CEUS, PSA, AND BIOPSY
5. MP17-01 DEVELOPMENT OF A GENERATIVE AI FRAMEWORK FOR AUTOMATING SOCIAL MEDIA POSTS FROM UROLOGICAL JOURNAL ARTICLES: A PROSPECTIVE STUDY
6. MP25-20 SALVAGE FOCAL THERAPY FOR RADIO-RECURRENT PROSTATE CANCER: ONCOLOGIC CONTROL AND FUNCTIONAL OUTCOMES
7. MP33-07 EVALUATING THE FEASIBILITY AND READABILITY OF GENERATIVE PRETRAINED TRANSFORMER 4 (GPT-4)-GENERATED LAYPERSON HOSPITAL SUMMARIES FOR ENHANCED PATIENT COMPREHENSION OF DISEASE AND DISCHARGE INSTRUCTIONS
8. MP19-06 PROSPECTIVE EVALUATION OF THE LEARNING CURVE FOR TRANSPERINEAL MRI/TRUS FUSION-GUIDED PROSTATE BIOPSY
9. PD01-10 SALVAGE ROBOTIC RADICAL PROSTATECTOMY FOLLOWING RADIATION VS FOCAL THERAPY
10. PD28-02 ASSESSING THE QUALITY AND PUBLIC PERCEPTION OF CHATBOT-GENERATED VS. PHYSICIAN ANSWERS TO SENSITIVE MEN's HEALTH CONCERNS
11. MP05-09 A NOVEL METHOD TO IDENTIFY AGGRESSIVE PROSTATE CANCER WITH DNA-METHYLATION SIGNATURES FROM PROSTATE NEEDLE BIOPSY
12. MP70-09 ETHNIC, RACIAL, AND SOCIOECONOMIC DISPARITIES IN PAIN PERCEPTION DURING MRI/TRUS FUSION-GUIDED PROSTATE BIOPSY: A PROSPECTIVE EVALUATION
13. MP31-10 AN INTERNATIONAL DELPHI CONSENSUS FOR BEST CLINICAL PRACTICES ON TRANSPERINEAL PROSTATE BIOPSY
14. MP39-09 STRUCTURED TRAINING CURRICULUM FOR ROBOTIC RADICAL NEPHROURETERECTOMY FOR UPPER TRACT UROTHELIAL CARCINOMA: A DELPHI CONSENSUS STUDY
15. MP31-12 AN EXPEDITED PROSTATE CANCER DIAGNOSTIC PATHWAY TO REDUCE CARBON FOOTPRINT AND IMPROVE EFFICIENCY: “THE GREEN BIOPSY”
16. MP49-10 WHO CAN SAFELY AVOID REPEAT PROSTATE BIOPSY FOLLOWING THE DETECTION OF ATYPICAL SMALL ACINAR PROLIFERATION?
17. Study protocol for the Intraoperative Complications Assessment and Reporting with Universal Standards (ICARUS) global cross-specialty surveys and consensus
18. Open versus Robot-Assisted Radical Cystectomy for the Treatment of pT4a Bladder Cancer: Comparison of Perioperative Outcomes
19. Reply to Rui-Cheng Wu, Deng-Xiong Li, and De-Chao Feng’s Letter to the Editor re: Michael Eppler, Conner Ganjavi, Lorenzo Storino Ramacciotti, et al. Awareness and Use of ChatGPT and Large Language Models: A Prospective Cross-sectional Global Survey in Urology. Eur Urol. 2024;85:146–53.
20. Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis
21. Gender disparities among publications within international sexual medicine urology journals and the impact of blinding in the review process
22. Introduction and Taxonomy
23. Use of Multiparametrric Magnetic Resonance Imaging (mpMRI) for Prostate Cancer: A Journey from 1.5 to 10 Tesla
24. Retroperitoneal District: Approaches to Renal Diseases
25. Reviewer of the Month
26. Reporting standards for the use of large language model-linked chatbots for health advice
27. Patients’ Trust in Artificial Intelligence–based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial
28. The Impact of Telemedicine in Reducing the Carbon Footprint in Health Care: A Systematic Review and Cumulative Analysis of 68 Million Clinical Consultations
29. Evaluating the Effectiveness of Artificial Intelligence–powered Large Language Models Application in Disseminating Appropriate and Readable Health Information in Urology
30. Generative Artificial Intelligence in Health Care
31. Framework for a living systematic review and meta-analysis for the surgical treatment of bladder cancer: introducing EVIglance to urology
32. Bridging the Gap Between Urological Research and Patient Understanding: The Role of Large Language Models in Automated Generation of Layperson’s Summaries
33. Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases
34. Reply to Laura E. Davis, Adam Calaway, and Laura Bukavina’s Letter to the Editor re: Nima Nassiri, Giovanni Cacciamani, Inderbir S. Gill. Robotic Bladder Auto-transplantation in a Heart-beating Brain-dead Human Research Donor. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2023.06.004
35. Reply by Authors
36. Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison
37. Study Protocol for the Intraoperative Complications Assessment and Reporting with Universal Standards (ICARUS) Global Cross-Specialty Surveys Among Surgeons, Anesthesiologists, Nurses, Interventional Cardiologists, and Interventional Radiologists
38. The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging
39. Artificial intelligence and urology: ethical considerations for urologists and patients
40. Criteria for enhancing reporting of perioperative transfusions in surgical and anaesthesiological studies
41. Editorial Comment: Environmental Impact of Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Guided Prostate Biopsy
42. Systematic Review and Meta-Analysis Assessing Perioperative and Oncologic Outcomes in Patients Undergoing Urologic Procedures with a History of Prior Abdominal/Pelvic Surgery: Study Protocol
43. Need to define hostile surgical sites to enhance surgical planning and outcomes
44. Bibliometric analysis of academic journal recommendations and requirements for surgical and anesthesiologic adverse events reporting
45. Severity Grading Systems for Intraoperative Adverse Events. A Systematic Review of the Literature and Citation Analysis
46. Impact of smoking on urologic cancers: a snapshot of current evidence
47. MP55-20 A NOVEL MACHINE LEARNING FRAMEWORK FOR AUTOMATED DETECTION OF PROSTATE CANCER LESIONS CONFIRMED ON MRI-INFORMED TARGET BIOPSY
48. MP46-17 LONG-TERM FOLLOW-UP IN ROBOT-ASSISTED FEMALE CYSTECTOMY: AN INTERNATIONAL MULTI-CENTER STUDY
49. MP09-05 AUTOMATED PROSTATE GLAND AND PROSTATE ZONES SEGMENTATION USING A NOVEL MRI-BASED MACHINE LEARNING FRAMEWORK AND CREATION OF SOFTWARE INTERFACE FOR USERS ANNOTATION
50. PD41-11 THE IMPACT OF PROSTATE VOLUMES (≤80 CC VS. > 80 CC) ON PERIOPERATIVE OUTCOMES AND RISK OF RETREATMENT IN PATIENTS UNDERGOING AQUABLATION: A SINGLE-CENTER STUDY
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