AIMC Topic: Reproducibility of Results

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A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning.

Journal of biomedical informatics
OBJECTIVE: Persona validation is a challenging task, often relying on costly external validation methods. The aim of this study was the development of a novel method for Personas validation based on data already available during their creation.

Technical and regulatory challenges in artificial intelligence-based pulse oximetry: a proposed development pipeline.

British journal of anaesthesia
Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately estimating peripheral oxygen saturation (SpO) in complex clinical scenarios, particularly at lower saturation levels and in patients with darker skin ...

Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...

A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification.

Scientific reports
Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in the light-sensitive retinal area. DR sufferers should receive urgent therapy to avoid vision loss. The intelligent medical diagnosis system for DR is e...

Using Generative AI to Extract Structured Information from Free Text Pathology Reports.

Journal of medical systems
Manually converting unstructured text pathology reports into structured pathology reports is very time-consuming and prone to errors. This study demonstrates the transformative potential of generative AI in automating the analysis of free-text pathol...

Deep Learning-Based Contrast Boosting in Low-Contrast Media Pre-TAVR CT Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
This study investigates the impact of deep learning-based contrast boosting (DL-CB) on image quality and measurement reliability in low-contrast media (low-CM) CT for pre-transcatheter aortic valve replacement (TAVR) assessment. This retrospective ...

Assessing GPT-4's accuracy in answering clinical pharmacological questions on pain therapy.

British journal of clinical pharmacology
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical ...

Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE).

Journal of vascular and interventional radiology : JVIR
As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) research and clinical practice, steps must be taken to ensure the robustness of novel technological systems presented in peer-reviewed journals. This ...