Where medical statistics meets artificial intelligence

DJ Hunter, C Holmes - New England Journal of Medicine, 2023 - Mass Medical Soc
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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 …

GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft… - BMJ open, 2021 - bmjopen.bmj.com
Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

R Aggarwal, V Sounderajah, G Martin, DSW Ting… - NPJ digital …, 2021 - nature.com
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

AI applications to medical images: From machine learning to deep learning

I Castiglioni, L Rundo, M Codari, G Di Leo, C Salvatore… - Physica medica, 2021 - Elsevier
Purpose Artificial intelligence (AI) models are playing an increasing role in biomedical
research and healthcare services. This review focuses on challenges points to be clarified …

Artificial intelligence in fracture detection: a systematic review and meta-analysis

RYL Kuo, C Harrison, TA Curran, B Jones, A Freethy… - Radiology, 2022 - pubs.rsna.org
Background Patients with fractures are a common emergency presentation and may be
misdiagnosed at radiologic imaging. An increasing number of studies apply artificial …

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

SC Rivera, X Liu, AW Chan, AK Denniston… - The Lancet Digital …, 2020 - thelancet.com
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …

Deep learning for caries detection: a systematic review

H Mohammad-Rahimi, SR Motamedian, MH Rohban… - Journal of Dentistry, 2022 - Elsevier
Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …

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

X Liu, SC Rivera, D Moher, MJ Calvert… - The Lancet Digital …, 2020 - thelancet.com
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review

OT Jones, RN Matin, M Van der Schaar… - The Lancet Digital …, 2022 - thelancet.com
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly
dependent on the cancer type and disease stage at diagnosis. We systematically reviewed …