AIMC Topic: Humans

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Contrastive machine learning reveals species -shared and -specific brain functional architecture.

Medical image analysis
A deep comparative analysis of brain functional connectome across species in primates has the potential to yield valuable insights for both scientific and clinical applications. However, the interspecies commonality and differences are inherently ent...

Development of a centrosome amplification-associated signature in kidney renal clear cell carcinoma based on multiple machine learning models.

Computational biology and chemistry
BACKGROUND: Centrosome amplification (CA) has been shown to be capable of initiating tumorigenesis with metastatic potential and enhancing cell invasion. We were interested in discovering how centrosome amplification-associated signature affects the ...

Artificial intelligence in emergency neuroradiology: Current applications and perspectives.

Diagnostic and interventional imaging
Emergency neuroradiology provides rapid diagnostic decision-making and guidance for management for a wide range of acute conditions involving the brain, head and neck, and spine. This narrative review aims at providing an up-to-date discussion about ...

Raising awareness may increase the likelihood of hematopoietic stem cell donation: a nationwide survey using artificial intelligence.

International journal of hematology
BACKGROUND: In Italy, the demand for allogeneic transplantation exceeds the number of compatible donors in the Italian Bone Marrow Donor Registry (IBMDR). This study aimed to explore the knowledge, beliefs, opinions, values, and feelings of the Itali...

The impact of internet resources and artificial intelligence on information on myringotomy tubes.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PURPOSE: To compare the quality and readability of patient education materials on myringotomy tubes from artificial intelligence and Google search.

Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior.

Medical physics
BACKGROUND: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging modality for the ...

Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: The introduction of generative artificial intelligence (AI) may have a profound effect on residency applications. In this study, we explore the abilities of AI-generated letters of recommendation (LORs) by evaluating the accuracy of ort...

ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS.

The journal of evidence-based dental practice
OBJECTIVES: To assess Artificial Intelligence (AI) platforms, machine learning methodologies and associated accuracies used in detecting dental caries from clinical images and dental radiographs.

Generative artificial intelligence (AI) literacy in nursing education: A crucial call to action.

Nurse education today
INTRODUCTION: Generative artificial intelligence (AI) is revolutionizing healthcare, necessitating corresponding advancements in nursing education to ensure that future nurses are equipped for a technologically driven environment. This article explor...

Artificial intelligence improves mammography-based breast cancer risk prediction.

Trends in cancer
Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic dens...