AIMC Topic: Checklist
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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS).
Journal of medical Internet research
May 2, 2024
The number of papers presenting machine learning (ML) models that are being submitted to and published in the Journal of Medical Internet Research and other JMIR Publications journals has steadily increased. Editors and peer reviewers involved in the...
Checklist for Reproducibility of Deep Learning in Medical Imaging.
Journal of imaging informatics in medicine
Mar 14, 2024
The application of deep learning (DL) in medicine introduces transformative tools with the potential to enhance prognosis, diagnosis, and treatment planning. However, ensuring transparent documentation is essential for researchers to enhance reproduc...
An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Mar 6, 2024
The introduction of artificial intelligence (AI) in interventional radiology (IR) will bring about new challenges and opportunities for patients and clinicians. AI may comprise software as a medical device or AI-integrated hardware and will require a...
Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Mar 2, 2024
BACKGROUND AND PURPOSE: Studies investigating the application of Artificial Intelligence (AI) in the field of radiotherapy exhibit substantial variations in terms of quality. The goal of this study was to assess the amount of transparency and bias in...
Some suggestions for 'A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research in medical education'.
Medical teacher
Feb 21, 2024
Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jan 28, 2024
This work puts forth and demonstrates the utility of a reporting framework for collecting and evaluating annotations of medical images used for training and testing artificial intelligence (AI) models in assisting detection and diagnosis. AI has uniq...
The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.
Journal of medical Internet research
Jan 19, 2024
BACKGROUND: Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial int...
A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research in medical education.
Medical teacher
Jan 16, 2024
Advances in Artificial Intelligence (AI) have led to AI systems' being used increasingly in medical education research. Current methods of reporting on the research, however, tend to follow patterns of describing an intervention and reporting on resu...
Should this artificial intelligence algorithm be used in my practice now? A checklist approach.
Clinical & experimental ophthalmology
Jan 14, 2024
Should this artificial intelligence algorithm be used in my practice now? A checklist approach: Response.
Clinical & experimental ophthalmology
Jan 12, 2024
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