Quality of reporting of randomised controlled trials of artificial intelligence in healthcare: a systematic review

Impact of a mobile phone-based interactive voice response software on tuberculosis treatment outcomes in Uganda (CFL-TB): a protocol for a randomized controlled trial

(2021) Dathan Mirembe Byonanebye et al.   Trials

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

Artificial intelligence in health care: accountability and safety

(2020) Ibrahim Habli et al.   BULLETIN OF THE WORLD HEALTH ORGANIZATION

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

(2020) Hyungjin Kim et al.   RADIOLOGY

Reporting quality of studies using machine learning models for medical diagnosis: a systematic review

(2020) Mohamed Yusuf et al.   BMJ Open

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

Reporting of demographic data and representativeness in machine learning models using electronic health records

(2020) Selen Bozkurt et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

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

(2020) Xiaoxuan Liu et al.   BMJ-British Medical Journal

Association of mutations in the Plasmodium falciparum Kelch13 gene (Pf3D7_1343700) with parasite clearance rates after artemisinin-based treatments—a WWARN individual patient data meta-analysis

(2019)   BMC Medicine

Asymmetric paralog evolution between the “cryptic” gene Bmp16 and its well-studied sister genes Bmp2 and Bmp4

(2019) Nathalie Feiner et al.   Scientific Reports

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

Glaucoma management in the era of artificial intelligence

(2019) Sripad Krishna Devalla et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Clinical Decision Support in the Era of Artificial Intelligence

(2018) Edward H. Shortliffe et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening

(2016) Tien Yin Wong et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Reporting of Patient-Reported Outcomes in Randomized Trials

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

A prospective evaluation of the safety and efficacy of the TAXUS Element paclitaxel-eluting coronary stent system for the treatment of de novo coronary artery lesions: Design and statistical methods of the PERSEUS clinical program

(2010) Dominic J Allocco et al.   Trials

CONSORT for reporting randomised trials in journal and conference abstracts

(2008) Sally Hopewell et al.   LANCET