AIMC Topic: Artificial Intelligence

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Ten tips to harnessing generative AI for high-quality MCQS in medical education assessment.

Medical education online
Generating high quality MCQs is time consuming and expensive. Many strategies are applied to produce high quality items including sharing of item banks, training of item writers and automatic item generation (AIG). Generative AI, when used with preci...

Unraveling prognostic biomarkers in oral squamous cell carcinoma: An approach based on explainable artificial intelligence.

Cancer genetics
Oral cancer is among the top malignancies and the leading cause of death worldwide. Poor outcomes are attributed to local recurrence and distant metastasis of disease. There is an urgent need to identify the potential biomarkers that may help in prog...

AI-driven wearable sensors for postoperative monitoring in surgical patients: A systematic review.

Computers in biology and medicine
INTRODUCTION: Artificial intelligence used with wearable technology can be an important modality of treatment in the surgical patient management for recovery and reduction of complications such as hypoxia and infection, bleeding, and organ failure. T...

AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.

Diagnostic pathology
Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochemistry (ICC) reagents for final diagnosis. Antibody reagents take hours to days to perform staining, along with requiring specialized equipment and tec...

Electrocardiographic sex index: a continuous representation of sex.

Biology of sex differences
Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with anatomic, physiologic, and metabolic attributes that are not easily summarized in this manner [1]. We propose a continuous representation of sex, the EC...

Impact of regional digital transformation on public health: an empirical analysis based on 31 provinces in China.

BMC public health
BACKGROUND: With the rapid development of digital transformation driven by big data and artificial intelligence in China, the field of public health is undergoing profound transformations. This study introduces technological innovation as a mediating...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

Archives of osteoporosis
UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (43%) of osteoporosis in CT scans obtained for planning of transcatheter aortic valve replacement. Thus, opportunistic screening may be a cost-effectiv...

An academic evaluation of ChatGpt's ability and accuracy in creating patient education resources for rare cardiovascular diseases.

Scientific reports
Generative Pre-trained Transformer (ChatGPT) is a web-based artificial intelligence assistant with the potential to provide information, answer questions, and make recommendations on various topics. Rare cardiovascular diseases (rCVD) are among the h...

Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model.

Scientific reports
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling novel system designs. Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), ofte...

An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.

Scientific reports
B-ultrasound results are widely used in early pregnancy loss (EPL) prediction, but there are inevitable intra-observer and inter-observer errors in B-ultrasound results especially in early pregnancy, which lead to inconsistent assessment of embryonic...