AIMC Topic: Artificial Intelligence

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Foundation Models in Radiology: What, How, Why, and Why Not.

Radiology
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models (FMs), are train...

Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Radiology
Background Combined mammography and MRI screening is not universally accessible for women with intermediate breast cancer risk due to limited MRI resources. Selecting women for MRI by assessing their mammogram may enable more resource-effective scree...

Leveraging teleradiology with artificial intelligence.

Bulletin of the World Health Organization
Can teleradiology supported by artificial intelligence (AI) boost overall radiology capacity in resource-constrained settings? Gary Humphreys reports.

Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.

Yonsei medical journal
PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within tim...

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.

The Lancet. Digital health
BACKGROUND: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed to develop and test artificial intelligence (AI) models to screen f...

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

Anticancer research
The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphasizing the need for remote patient monitoring (RPM) to minimize infection risks. This review aimed to evaluate the applications of artificial intellige...

Engineering the future of medicine: Natural products, synthetic biology and artificial intelligence for next-generation therapeutics.

Clinical and translational medicine
The eXchange Unit between Thiolation domains approach and artificial intelligence (AI)-driven tools like Synthetic Intelligence are transforming nonribosomal peptide synthetase and polyketide synthase engineering, enabling the creation of novel bioac...

Artificial Intelligence-Based Detection and Numbering of Dental Implants on Panoramic Radiographs.

Clinical implant dentistry and related research
OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number imp...

The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review.

International journal of mental health nursing
Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. Within this context, the traditional role of mental health nurses has been changed and challenged by AI-powered cutting-edge technologies emerging in c...