AIMC Topic: Reproducibility of Results

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Radiomics-based machine learning in prediction of response to neoadjuvant chemotherapy in osteosarcoma: A systematic review and meta-analysis.

Clinical imaging
BACKGROUND AND AIMS: Osteosarcoma (OS) is the most common primary bone malignancy, and neoadjuvant chemotherapy (NAC) improves survival rates. However, OS heterogeneity results in variable treatment responses, highlighting the need for reliable, non-...

Characterization of digital camera-based UV illumination fluorescent imaging for concentration measurement with limit of detection, specificity and precision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Nowadays the increased need for pharmaceutics requires fast, cheap and reliable quality control systems to investigate the final product's quality. The generally used methods like high-pressure liquid chromatography (HPLC) and other coupled technique...

Artificial intelligence (AI) performance on pharmacy skills laboratory course assignments.

Currents in pharmacy teaching & learning
OBJECTIVE: To compare pharmacy student scores to scores of artificial intelligence (AI)-generated results of three common platforms on pharmacy skills laboratory assignments.

Evaluating the validity and consistency of artificial intelligence chatbots in responding to patients' frequently asked questions in prosthodontics.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Healthcare-related information provided by artificial intelligence (AI) chatbots may pose challenges such as inaccuracies, lack of empathy, biases, over-reliance, limited scope, and ethical concerns.

Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVE: This study aimed to evaluate the reliability, consistency, and readability of responses provided by various artificial intelligence (AI) programs to questions related to Restorative Dentistry.

Machine learning-based multi-pool Voigt fitting of CEST, rNOE, and MTC in Z-spectra.

Magnetic resonance in medicine
PURPOSE: Four-pool Voigt (FPV) machine learning (ML)-based fitting for Z-spectra was developed to reduce fitting times for clinical feasibility in terms of on-scanner analysis and to promote larger cohort studies. The approach was compared to four-po...

Derivation and validation of an artificial intelligence-based plaque burden safety cut-off for long-term acute coronary syndrome from coronary computed tomography angiography.

European heart journal. Cardiovascular Imaging
AIMS: Artificial intelligence (AI) has enabled accurate and fast plaque quantification from coronary computed tomography angiography (CCTA). However, AI detects any coronary plaque in up to 97% of patients. To avoid overdiagnosis, a plaque burden saf...

Artificial Intelligence for Patient Support: Assessing Retrieval-Augmented Generation for Answering Postoperative Rhinoplasty Questions.

Aesthetic surgery journal
BACKGROUND: Although artificial intelligence (AI) is revolutionizing healthcare, inaccurate or incomplete information from pretrained large language models (LLMs) like ChatGPT poses significant risks to patient safety. Retrieval-augmented generation ...