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

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

(2020) Lucas M. Fleuren et al.   INTENSIVE CARE MEDICINE

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery

(2020) Marije Wijnberge et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Top 10 Reviewer Critiques of Radiology Artificial Intelligence (AI) Articles: Qualitative Thematic Analysis of Reviewer Critiques of Machine Learning/Deep Learning Manuscripts Submitted to JMRI

(2020) Jules Gregory et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Treating health disparities with artificial intelligence

(2020) Irene Y. Chen et al.   NATURE MEDICINE

Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study

(2020) Dexin Gong et al.   Lancet Gastroenterology & Hepatology

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study

(2020) Pu Wang et al.   Lancet Gastroenterology & Hepatology

Predicting conversion to wet age-related macular degeneration using deep learning

(2020) Jason Yim et al.   NATURE MEDICINE

Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas

(2020) Hyungjin Kim et al.   RADIOLOGY

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

(2020) Viknesh Sounderajah et al.   NATURE MEDICINE

Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder

(2019) Catalin Voss et al.   JAMA Pediatrics

Adversarial attacks on medical machine learning

(2019) Samuel G. Finlayson et al.   SCIENCE

Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

(2019) Lianlian Wu et al.   GUT

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

Impact of real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with video)

(2019) Jing-Ran Su et al.   GASTROINTESTINAL ENDOSCOPY

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed

(2019)   NATURE MEDICINE

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Extension of the CONSORT and SPIRIT statements

(2019) Xiaoxuan Liu et al.   LANCET

Why deep-learning AIs are so easy to fool

(2019) Douglas Heaven   NATURE

AI can be sexist and racist — it’s time to make it fair

(2018) James Zou et al.   NATURE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent–enhanced CT Images in the Liver

(2018) Kyu Jin Choi et al.   RADIOLOGY

Machine Learning and Health Care Disparities in Dermatology

(2018) Adewole S. Adamson et al.   JAMA Dermatology

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

A web-based clinical decision support system for gestational diabetes: Automatic diet prescription and detection of insulin needs

(2017) Estefanía Caballero-Ruiz et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy

(2017) Alexandru Nicolae et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy

(2017) Daniel L. Labovitz et al.   STROKE

Reducing waste from incomplete or unusable reports of biomedical research

(2014) Paul Glasziou et al.   LANCET

Reporting of Patient-Reported Outcomes in Randomized Trials

(2013) Melanie Calvert et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Guidance for Developers of Health Research Reporting Guidelines

(2010) David Moher et al.   PLOS MEDICINE

Revised STandards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA): Extending the CONSORT Statement

(2010) Hugh MacPherson et al.   PLOS MEDICINE

STARE-HI—Statement on reporting of evaluation studies in Health Informatics

(2008) J TALMON et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

CONSORT for reporting randomised trials in journal and conference abstracts

(2008) Sally Hopewell et al.   LANCET