AIMC Topic: Humans

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Simple Recurrent Networks are Interactive.

Psychonomic bulletin & review
There is disagreement among cognitive scientists as to whether a key computational framework - the Simple Recurrent Network (SRN; Elman, Machine Learning, 7(2), 195-225, 1991; Elman, Cognitive Science, 14(2), 179-211, 1990) - is a feedforward system....

A narrative review on the application of Delphi and fuzzy Delphi techniques in the cement industry.

Work (Reading, Mass.)
BackgroundThe Delphi technique and its fuzzy variant are widely employed across various sectors, including industrial applications, for eliciting expert consensus and identifying priorities. Despite its prevalence, there is limited literature on its ...

Do I Write Like Artificial Intelligence?

Annals of surgical oncology
This article discusses the limitations of artificial intelligence (AI) content detectors, citing studies by Flitcroft et al. The author shares personal experiences in which AI detectors incorrectly flagged human-written content, emphasizing that the ...

Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

Academic radiology
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in aortic computed tomography angiography (CTA) through the application of low tube voltage (60kVp) and a novel deep learning image reconstruction algorit...

Early and noninvasive prediction of response to neoadjuvant therapy for breast cancer via longitudinal ultrasound and MR deep learning: A multicentre study.

Academic radiology
RATIONALE AND OBJECTIVES: The early prediction of response to neoadjuvant chemotherapy (NAC) will aid in the development of personalized treatments for patients with breast cancer. This study investigated the value of longitudinal multimodal deep lea...

A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis.

Complementary therapies in medicine
BACKGROUND: Acupuncture, a therapy created by the ancient Chinese, has been gaining increasing popularity and acceptance worldwid. The surge in the number of publications on acupuncture therapy has posed significant challenges for researchers in effe...

Why we should talk about institutional (dis)trustworthiness and medical machine learning.

Medicine, health care, and philosophy
The principle of trust has been placed at the centre as an attitude for engaging with clinical machine learning systems. However, the notions of trust and distrust remain fiercely debated in the philosophical and ethical literature. In this article, ...

Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
In recent years, there has been an increasing interest in developing and using artificial intelligence (AI) models in pathology. Although pathologists generally have a positive attitude toward AI, they report a lack of knowledge and skills regarding ...

Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.

Journal of perinatology : official journal of the California Perinatal Association
OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryngoscopy (VL) by automating the detection of the glottic opening in neonates, as a step toward future studies on improving intubation outcomes.