AIMC Topic: Artificial Intelligence

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Artificial Intelligence in the Future Landscape of Pediatric Neuroradiology: Opportunities and Challenges.

AJNR. American journal of neuroradiology
This paper will review how artificial intelligence (AI) will play an increasingly important role in pediatric neuroradiology in the future. A safe, transparent, and human-centric AI is needed to tackle the quadruple aim of improved health outcomes, e...

Medical AI: is trust really the issue?

Journal of medical ethics
I discuss an influential argument put forward by Hatherley in the Drawing on influential philosophical accounts of interpersonal trust, Hatherley claims that medical artificial intelligence is capable of being reliable, but not trustworthy. Furtherm...

Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer.

Expert review of molecular diagnostics
INTRODUCTION: Histological images contain phenotypic information predictive of patient outcomes. Due to the heavy workload of pathologists, the time-consuming nature of quantitatively assessing histological features, and human eye limitations to reco...

Getting to Know Named Entity Recognition: Better Information Retrieval.

Medical reference services quarterly
Named entity recognition (NER) is a powerful computer system that utilizes various computing strategies to extract information from raw text input, since the early 1990s. With rapid advancement in AI and computing, NER models have gained significant ...

Unlocking the future of patient Education: ChatGPT vs. LexiComp® as sources of patient education materials.

Journal of the American Pharmacists Association : JAPhA
BACKGROUND: ChatGPT is a conversational artificial intelligence technology that has shown application in various facets of healthcare. With the increased use of AI, it is imperative to assess the accuracy and comprehensibility of AI platforms.

Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications.

Journal of critical care
PURPOSE: This study investigates the potential of machine learning (ML) algorithms in improving sepsis diagnosis and prediction, focusing on their relevance in healthcare decision-making. The primary objective is to contribute to healthcare decision-...

Gender Bias in Artificial Intelligence-Written Letters of Reference.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry implicit gender bias, such as using more agentic versus communal words for men, and more frequent doubt-...

The 2023 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board.

Gastrointestinal endoscopy
Using a systematic literature search of original articles published during 2023 in Gastrointestinal Endoscopy (GIE) and other high-impact medical and gastroenterology journals, the GIE Editorial Board of the American Society for Gastrointestinal Endo...

Living cells and biological mechanisms as prototypes for developing chemical artificial intelligence.

Biochemical and biophysical research communications
Artificial Intelligence (AI) is having a revolutionary impact on our societies. It is helping humans in facing the global challenges of this century. Traditionally, AI is developed in software or through neuromorphic engineering in hardware. More rec...

Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications.

International journal of medical informatics
BACKGROUND: Generative artificial intelligence (GAI) is revolutionizing healthcare with solutions for complex challenges, enhancing diagnosis, treatment, and care through new data and insights. However, its integration raises questions about applicat...