AIMC Topic: Artificial Intelligence

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Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.

Scientific reports
Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of colorectal diseases, there remains a large gap between the current state of CCE in clinical practice, and the state of its counterpart optical colonosc...

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects.

Scientific reports
Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called AI Recognition of ...

Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.

Journal of medical systems
Artificial Intelligence (AI) driven documentation systems are positioned to enhance documentation efficiency and reduce documentation burden in the healthcare setting. The administrative burden associated with clinical documentation has been identifi...

Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol.

BMJ open
INTRODUCTION: Empirical data on the barriers limiting artificial intelligence (AI)'s impact on healthcare are scarce, particularly within the Canadian context. This study aims to address this gap by conducting a scoping review to identify and evaluat...

Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis.

JMIR formative research
BACKGROUND: Spinal pain, one of the most common musculoskeletal disorders (MSDs), significantly impacts the quality of life due to chronic pain and disability. Physical activity has shown promise in managing spinal pain, although optimizing adherence...

Assessment of AI-based computational H&E staining versus chemical H&E staining for primary diagnosis in lymphomas: a brief interim report.

Journal of clinical pathology
Microscopic review of tissue sections is of foundational importance in pathology, yet the traditional chemistry-based histology laboratory methods are labour intensive, tissue destructive, poorly scalable to the evolving needs of precision medicine a...

Artificial intelligence-enhanced retinal imaging as a biomarker for systemic diseases.

Theranostics
Retinal images provide a non-invasive and accessible means to directly visualize human blood vessels and nerve fibers. Growing studies have investigated the intricate microvascular and neural circuitry within the retina, its interactions with other s...

Artificial intelligence in orthopedic research assistance: a resident's perspective.

Musculoskeletal surgery
Artificial intelligence (AI) is transforming orthopedic research by optimizing academic workflows, improving evidence synthesis, and expanding access to advanced data analysis tools. Generative AI models such as ChatGPT and GPT-4, alongside specializ...

Artificial Intelligence in Videofluoroscopy Swallow Study Analysis: A Comprehensive Review.

Dysphagia
Videofluoroscopic Swallowing Study (VFSS) is considered the gold standard for diagnosing swallowing disorders, or dysphagia. However, the interpretation of VFSS is susceptible to human bias and subjectivity, resulting in significant inter- and intra-...

How Artificial Intelligence, Virtual Reality, and Other Digital Technologies Are Changing the Field of Pediatric Neurogastroenterology.

Gastroenterology clinics of North America
Digital technology development is accelerating, with extended reality, artificial intelligence, and methods for information sharing leading the charge in broad medical specialties including pediatric neurogastroenterology. This rapid advancement must...