AIMC Topic: Artificial Intelligence

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Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Therapeutic advances in cardiovascular disease
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Clinical psychology & psychotherapy
Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well established as an effective treatment for depression and anxiety, less is known about the specific interventions used during coaching sessions that contribute t...

Role of Artificial Intelligence and Machine Learning in Facial Aesthetic Surgery: A Systematic Review.

Facial plastic surgery & aesthetic medicine
To analyze the quality of artificial intelligence (AI) and machine learning (ML) tools developed for facial aesthetic surgery. Medline, Embase, CINAHL, Central, Scopus, and Web of Science databases were searched in February 2024. All original rese...

USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPROACHES TO ENHANCE CANCER THERAPY AND DRUG DISCOVERY: A NARRATIVE REVIEW.

Journal of Ayub Medical College, Abbottabad : JAMC
BACKGROUND: This paper looks at how AI and machine learning have been applied over the last ten years to the development of anti-cancer drugs. By speeding up the synthesis of more desirable compounds and the identification of new ones, artificial int...

[Application of artificial intelligence methods in the diagnosis and treatment of primary angle-closure disease].

Vestnik oftalmologii
This article reviews literature on the use of artificial intelligence (AI) methods for the diagnosis and treatment of primary angle-closure disease (PACD). The review describes how AI techniques enhance the efficiency of population screening for ante...

Reducing bias in healthcare artificial intelligence: A white paper.

Health informatics journal
Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no consensus exists on how this might be achieved. At an international conference in 2022, experts gathered to discuss strategies for reducing bias in he...

The Prospect of Artificial Intelligence-Supported Ethics Review.

Ethics & human research
The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence (AI), it has recently become possi...

Neurosurgery, Explainable AI, and Legal Liability.

Advances in experimental medicine and biology
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability and interpretability of these technologies. This chapter explores whether AI systems in healthcare generally, and in neurosurgery specifically, should b...

Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and Neurosurgery.

Advances in experimental medicine and biology
The rapid pace of development and application of digital technology and data science, including artificial intelligence (AI), is transforming our world. In this chapter, we address the question: "Is bioethics relevant to how we should develop, govern...

Comprehensive Overview of Computational Modeling and Artificial Intelligence in Pediatric Neurosurgery.

Advances in experimental medicine and biology
In this chapter, we give an overview of artificial intelligence tools and their use thus far in pediatric neurosurgery. We discuss different machine learning algorithms from a data-driven approach in order to guide clinicians and scientists as they a...