☆ 4.5 Article

Artificial intelligence and urology: ethical considerations for urologists and patients

NATURE REVIEWS UROLOGY (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Letter Biochemistry & Molecular Biology

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Giovanni E. Cacciamani et al.

NATURE MEDICINE (2023)

添加到收藏夹

Review Oncology

A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading

Andrey Morozov et al.

Summary: Artificial intelligence (AI) shows promise in pathology, particularly in cancer diagnosis, subtyping, grading, and prognostic prediction. Studies have shown that AI achieves high accuracy in differentiating between prostate cancer and benign hyperplasia, and demonstrates good agreement with pathologists in identifying and grading prostate cancer.

PROSTATE CANCER AND PROSTATIC DISEASES (2023)

添加到收藏夹

Review Medicine, General & Internal

Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis

Michael B. Eppler et al.

Summary: Currently, intraoperative adverse events (iAEs) are not routinely collected, graded, and reported in surgery. However, advancements in artificial intelligence (AI) have the potential to disrupt the landscape of surgical safety through real-time and automatic detection of these events. This study aimed to understand the current implementation of AI in detecting iAEs. A literature review was conducted, and 13 articles on the automatic identification of iAEs in real-time were included for data extraction. The study found that AI algorithms could detect various iAEs, and meta-analysis showed their effectiveness. However, there is a need for standardization in iAE definitions, detection, and reporting to improve surgical care for patients.

JOURNAL OF CLINICAL MEDICINE (2023)

添加到收藏夹

Article Urology & Nephrology

Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!

Giovanni E. Cacciamani et al.

Summary: Artificial intelligence (AI) is expected to revolutionize healthcare by improving the quality of care for patients and overcoming human fatigue barriers. In the field of oncology, AI has the potential to standardize the interpretation of radiological imaging, especially for prostate imaging. Combining AI with radiologist assessment shows superior performance in detecting prostate cancer, offering a hybrid system that maximizes patient care quality while reducing physician workload and burnout.

EUROPEAN UROLOGY OPEN SCIENCE (2023)

添加到收藏夹

Article Urology & Nephrology

Artificial Intelligence Applications in Urology Reporting Standards to Achieve Fluency for Urologists

Andrew B. Chen et al.

UROLOGIC CLINICS OF NORTH AMERICA (2022)

添加到收藏夹

Article Biochemistry & Molecular Biology

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey et al.

Summary: The article introduces the DECIDE-AI checklist, which includes key items that should be reported in early-stage clinical studies of AI-based decision support systems. It emphasizes the importance of responsible and transparent deployment of AI systems in healthcare. The checklist was developed through a consensus-based process involving multiple stakeholders.

NATURE MEDICINE (2022)

添加到收藏夹

Article Genetics & Heredity

The future regulation of artificial intelligence systems in healthcare services and medical research in the European Union

Janos Meszaros et al.

Summary: Despite the promising future of artificial intelligence (AI) in healthcare services and medical research, there are legal and ethical challenges to its application. The European Union (EU) is addressing these issues by utilizing existing legal frameworks and proposing new regulations, such as the AI Act. Currently, the EU General Data Protection Regulation (GDPR) partially regulates AI systems, particularly with regards to processing personal data and protecting individuals from solely automated decision-making. However, there are differences in the impact of GDPR on healthcare services and medical research due to the nature of decision-making involved. The proposed AI Act introduces a risk-based approach and ethical AI principles to complement GDPR in these domains. While it may take some time for the AI Act to come into force, its goals are expected to be realized beforehand.

FRONTIERS IN GENETICS (2022)

添加到收藏夹

Article Surgery

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery

Francisco Luongo et al.

Summary: The study demonstrates the potential of deep learning computer vision to identify and distinguish different classifications of suturing gestures, reliably predicting their types. Different recurrent classification model choices did not affect performance.

SURGERY (2021)

添加到收藏夹

Review Ethics

Artificial intelligence for good health: a scoping review of the ethics literature

Kathleen Murphy et al.

Summary: Ethical issues surrounding AI in the field of health are vast and complex, primarily focused on healthcare but with limited attention to public health. Common ethical concerns include privacy, trust, accountability, responsibility, and bias. Further research is needed to explore the ethics of AI within low- and middle-income countries, as well as in public health, to ensure ethical development and implementation for all.

BMC MEDICAL ETHICS (2021)

添加到收藏夹

Review Urology & Nephrology

How the use of the artificial intelligence could improve surgical skills in urology: state of the art and future perspectives

Giovanni E. Cacciamani et al.

Summary: This article reviews the advancements in the use of machine learning and artificial intelligence to improve surgical skills in urology, including identifying and classifying surgical gestures, creating automated evaluation reports, and predicting clinical outcomes. The role of artificial intelligence is growing and allows for efficient analysis of surgical training data to draw conclusions.

CURRENT OPINION IN UROLOGY (2021)

添加到收藏夹

Editorial Material Urology & Nephrology

Artificial Intelligence Will (MAY) Make Doctors Expendable (IN GOOD WAYS): Pro

Andrew J. Hung et al.

EUROPEAN UROLOGY FOCUS (2021)

添加到收藏夹

Article Medicine, General & Internal

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Gary S. Collins et al.

Summary: This paper outlines the development process of TRIPOD-AI and PROBAST-AI, including systematic reviews, Delphi process, virtual consensus meetings, and tool development, in five stages. The aim is to provide reporting guidelines and a standardized tool for the critical appraisal of machine learning based prediction model studies.

BMJ OPEN (2021)

添加到收藏夹

Editorial Material Surgery

Deep Learning to Automate Technical Skills Assessment in Robotic Surgery

Andrew J. Hung et al.

JAMA SURGERY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Clinical AI: opacity, accountability, responsibility and liability

Helen Smith

Summary: This review examined concerns about accountability and legal liability when using opaque AI systems in clinical decision making, highlighting the challenges of opacity, responsibility, and accountability among stakeholders such as technologists and clinicians. Legal analysis is essential to clarify obligations and prepare for potential undesirable outcomes related to patient harm events when utilizing AIS.

AI & SOCIETY (2021)

添加到收藏夹

Editorial Material Medicine, General & Internal

Ethical and Legal Aspects of Ambient Intelligence in Hospitals

Sara Gerke et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)

添加到收藏夹

Article Public, Environmental & Occupational Health

Artificial intelligence in health care: accountability and safety

Ibrahim Habli et al.

BULLETIN OF THE WORLD HEALTH ORGANIZATION (2020)

添加到收藏夹

Article Pathology

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

Patricia Raciti et al.

MODERN PATHOLOGY (2020)

添加到收藏夹

Review Radiology, Nuclear Medicine & Medical Imaging

Radiomics in medical imaging-how-to guide and critical reflection

Janita E. van Timmeren et al.

INSIGHTS INTO IMAGING (2020)

添加到收藏夹

Review Urology & Nephrology

Impact of radiomics on prostate cancer detection: a systematic review of clinical applications

Dordaneh Sugano et al.

CURRENT OPINION IN UROLOGY (2020)

添加到收藏夹

Review Urology & Nephrology

Applications of neural networks in urology: a systematic review

Enrico Checcucci et al.

CURRENT OPINION IN UROLOGY (2020)

添加到收藏夹

Article Health Care Sciences & Services

Cybersecurity Risks in a Pandemic

Christina Meilee Williams et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2020)

添加到收藏夹

Article Biochemistry & Molecular Biology

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Xiaoxuan Liu et al.

NATURE MEDICINE (2020)

添加到收藏夹

Article Biochemistry & Molecular Biology

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Samantha Cruz Rivera et al.

NATURE MEDICINE (2020)

添加到收藏夹

Article Medicine, General & Internal

Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up

Heather Johnson et al.

BMC MEDICINE (2020)

添加到收藏夹

Review Business

HUMAN TRUST IN ARTIFICIAL INTELLIGENCE: REVIEW OF EMPIRICAL RESEARCH

Ella Glikson et al.

ACADEMY OF MANAGEMENT ANNALS (2020)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Secure, privacy-preserving and federated machine learning in medical imaging

Georgios A. Kaissis et al.

NATURE MACHINE INTELLIGENCE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Mauricio Reyes et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)

添加到收藏夹

Article Urology & Nephrology

Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy

Nathan C. Wong et al.

BJU INTERNATIONAL (2019)

添加到收藏夹

Review Urology & Nephrology

Objective Assessment of Robotic Surgical Technical Skill: A Systematic Review

Jian Chen et al.

JOURNAL OF UROLOGY (2019)

添加到收藏夹

Article Health Care Sciences & Services

Psychosocial consequences of receiving false-positive colorectal cancer screening results: a qualitative study

Eva Lykke Toft et al.

SCANDINAVIAN JOURNAL OF PRIMARY HEALTH CARE (2019)

添加到收藏夹

Review Urology & Nephrology

Current status of artificial intelligence applications in urology and their potential to influence clinical practice

Jian Chen et al.

BJU INTERNATIONAL (2019)

添加到收藏夹

Editorial Material Medicine, General & Internal

Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence

Shantanu Nundy et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2019)

添加到收藏夹

Article Multidisciplinary Sciences

Estimating the success of re-identifications in incomplete datasets using generative models

Luc Rocher et al.

NATURE COMMUNICATIONS (2019)

添加到收藏夹

Editorial Material Urology & Nephrology

From separation to collaboration: the future of urology

Alexander B. Nolsoe et al.

NATURE REVIEWS UROLOGY (2019)

添加到收藏夹

Letter Medicine, General & Internal

Extension of the CONSORT and SPIRIT statements

Xiaoxuan Liu et al.

LANCET (2019)

添加到收藏夹

Review Biochemistry & Molecular Biology

Privacy in the age of medical big data

W. Nicholson Price et al.

NATURE MEDICINE (2019)

添加到收藏夹

Review Education & Educational Research

Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review

Eui-Ryoung Han et al.

BMC MEDICAL EDUCATION (2019)

添加到收藏夹

Review Medical Informatics

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Xiaoxuan Liu et al.

LANCET DIGITAL HEALTH (2019)

添加到收藏夹

Article Health Care Sciences & Services

Machine learning in medicine: a practical introduction

Jenni A. M. Sidey-Gibbons et al.

BMC MEDICAL RESEARCH METHODOLOGY (2019)

添加到收藏夹

Editorial Material Medicine, General & Internal

HIPAA and Protecting Health Information in the 21st Century

I. Glenn Cohen et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)

添加到收藏夹

Article Computer Science, Information Systems

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

Amina Adadi et al.

IEEE ACCESS (2018)

添加到收藏夹

Article Multidisciplinary Sciences

Semantics derived automatically from language corpora contain human-like biases

Aylin Caliskan et al.

SCIENCE (2017)

添加到收藏夹

Article Oncology

Health Care Segregation, Physician Recommendation, and Racial Disparities in BRCA1/2 Testing Among Women With Breast Cancer

Anne Marie McCarthy et al.

JOURNAL OF CLINICAL ONCOLOGY (2016)

添加到收藏夹

Article Urology & Nephrology

Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder

Georg Bartsch et al.

JOURNAL OF UROLOGY (2016)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

添加到收藏夹

Article Medicine, General & Internal

The FDA and Genomic Tests - Getting Regulation Right

Barbara J. Evans et al.

NEW ENGLAND JOURNAL OF MEDICINE (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Race/Ethnic Differences in the Associations of the Framingham Risk Factors with Carotid IMT and Cardiovascular Events

Crystel M. Gijsberts et al.

PLOS ONE (2015)

添加到收藏夹

Article Biochemical Research Methods

EnsembleGASVR: a novel ensemble method for classifying missense single nucleotide polymorphisms

Trisevgeni Rapakoulia et al.

BIOINFORMATICS (2014)

添加到收藏夹

Editorial Material Medicine, General & Internal

Transparent and accurate reporting increases reliability, utility, and impact of your research: reporting guidelines and the EQUATOR Network

Iveta Simera et al.

BMC MEDICINE (2010)

添加到收藏夹

Editorial Material Medicine, General & Internal

EQUATOR: reporting guidelines for health research

Douglas G. Altman et al.

LANCET (2008)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.