AI Medical Compendium Topic:
Clinical Decision-Making

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A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted Images.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: We aimed to develop and validate a deep learning (DL) model to automatically segment posterior fossa ependymoma (PF-EPN) and predict its molecular subtypes [Group A (PFA) and Group B (PFB)] from preoperative MR images.

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...

CLINICAL REASONING AND ARTIFICIAL INTELLIGENCE: CAN AI REALLY THINK?

Transactions of the American Clinical and Climatological Association
Artificial intelligence (AI) in the form of ChatGPT has rapidly attracted attention from physicians and medical educators. While it holds great promise for more routine medical tasks, may broaden one's differential diagnosis, and may be able to assis...

AI language models in human reproduction research: exploring ChatGPT's potential to assist academic writing.

Human reproduction (Oxford, England)
Artificial intelligence (AI)-driven language models have the potential to serve as an educational tool, facilitate clinical decision-making, and support research and academic writing. The benefits of their use are yet to be evaluated and concerns hav...

Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer.

Annals of medicine
BACKGROUND: In colorectal cancer (CRC), both tumor invasion and immunological analysis at the tumor invasive margin (IM) are significantly associated with patient prognosis, but have traditionally been reported independently. We propose a new scoring...

Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients.

Polski przeglad chirurgiczny
<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology with vast potential for use in several fields of medicine. However, little is known about the application of AI in treatment decisions for patients with...

Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of this study was to propose a potential strategy to mitigate automation b...

Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.

Hospital pediatrics
OBJECTIVES: To evaluate caregiver opinions on the use of artificial intelligence (AI)-assisted medical decision-making for children with a respiratory complaint in the emergency department (ED).

Artificial intelligence and digital health in global eye health: opportunities and challenges.

The Lancet. Global health
Global eye health is defined as the degree to which vision, ocular health, and function are maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye health is a global priority as a key to unlocking human potential...