AIMC Topic: Humans

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Development of a deep learning model to distinguish the cause of optic disc atrophy using retinal fundus photography.

Scientific reports
The differential diagnosis for optic atrophy can be challenging and requires expensive, time-consuming ancillary testing to determine the cause. While Leber's hereditary optic neuropathy (LHON) and optic neuritis (ON) are both clinically significant ...

Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Scientific reports
Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate prediction. This study was aimed to develop preoperative artificial intelligence-based prediction models. Patients who underwent pancreaticoduodenecto...

Design and utilisation of a novel, high-fidelity, low-cost, hybrid-tissue simulation model to facilitate training in robot-assisted partial nephrectomy.

Journal of robotic surgery
Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriately selected renal tumours, offering key patient benefits over radical nephrectomy or open surgical approaches. Accordingly, RAPN is a key competency ...

Clinical applications of artificial intelligence in robotic surgery.

Journal of robotic surgery
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contribut...

A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Deep learning is a subset of artificial intelligence (AI) with enormous potential to transform orthopaedic surgery. As has already become evident with the deployment of Large Language Models (LLMs) like ChatGPT (OpenAI Inc.), deep learning can rapidl...

The Future of Nursing: Navigating the AI Revolution Through Education and Training.

Journal of continuing education in nursing
Artificial intelligence is becoming a fundamental technology in health care, nursing, and education. Understanding how to navigate this advanced technology is critically important for clinical nursing staff as well as educators. Basic professional nu...

Monitoring performance of clinical artificial intelligence: a scoping review protocol.

JBI evidence synthesis
OBJECTIVE: The objective of this scoping review is to describe the scope and nature of research on the monitoring of clinical artificial intelligence (AI) systems. The review will identify the various methodologies used to monitor clinical AI, while ...

An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning.

Physiological measurement
Myocardial infarction (MI) is a prevalent cardiovascular disease that contributes to global mortality rates. Timely diagnosis and treatment of MI are crucial in reducing its fatality rate. Currently, electrocardiography (ECG) serves as the primary to...

Artificial Intelligence-Assisted Colonoscopy in Real-World Clinical Practice: A Systematic Review and Meta-Analysis.

Clinical and translational gastroenterology
INTRODUCTION: Artificial intelligence (AI) could minimize the operator-dependent variation in colonoscopy quality. Computer-aided detection (CADe) has improved adenoma detection rate (ADR) and adenomas per colonoscopy (APC) in randomized controlled t...