AIMC Topic: Humans

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Automated facial nerve identification in microsurgery with an improved unet.

Journal of robotic surgery
To develop a deep-learning model that improves the segmentation and detection of Facial Nerve in microsurgery, thereby increasing surgical precision and safety. We collected videos from 25 patients undergoing facial nerve decompression microsurgery. ...

Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible Ureteroscopy-an EAU section of endourology study.

World journal of urology
INTRODUCTION: Suction devices such as flexible and navigable suction ureteral access sheath (FANS) are promising tools to reach the zero-fragment rate (ZFR) after flexible ureteroscopy (FURS) and laser lithotripsy. FANS could especially be useful for...

Detection of bone infections using Vis-NIR and SWIR hyperspectral imaging coupled with machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Bone infections, such as fracture-related and periprosthetic joint infections, present significant diagnostic and therapeutic challenges in orthopaedic surgery. Current diagnosic standards rely primarily on tissue cultures of intraoperatively obtaine...

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn's disease.

Annals of medicine
BACKGROUND: Crohn's disease (CD) is a chronic inflammatory bowel disease, with infliximab (IFX) commonly used for treatment. However, no clinically applicable model currently exists to predict the response of patients with CD to IFX therapy. Given th...

Innovations in cancer treatment: evaluating drug resistance with lab-on-a-chip technologies.

International journal of pharmaceutics
Lab-on-a-chip (LoC) technologies have emerged as transformative tools in cancer research, particularly in evaluating drug resistance, which remains a significant barrier to effective treatment. These miniaturized platforms allow for the integration o...

Leveraging machine-learning techniques to detect recurrences in cancer registry data: A multi-registry validation study using German lung cancer data.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Cancer recurrence and progression, once seen as markers of poor prognosis, are now considered manageable aspects of long-term care. Advances in treatment have extended survival, emphasizing the need for representative epidemiological info...

The Practical and Ethical Implications of Artificial Intelligence in Anesthesiology, Pain Medicine, and Intensive Care: Safeguards.

Anesthesiology clinics
Artificial intelligence (AI) has the potential to revolutionize anesthesiology, pain medicine, and intensive care by enhancing decision-making, minimizing errors, and personalizing patient care. However, the practical and ethical challenges it presen...

Current Perspectives on the Artificial Intelligence in Critical Care Medicine.

Anesthesiology clinics
The article explores the transformative impact of artificial intelligence (AI) in critical care medicine. AI models offer superior accuracy in mortality risk assessment and personalized treatment recommendations, enhancing patient outcomes in acute a...

Developing age-specific protocols for pediatric voice databases in artificial intelligence research.

International journal of pediatric otorhinolaryngology
INTRODUCTION: Children's voice and communication abilities evolve with age, necessitating tailored protocols for accurate analysis. Distinct vocal properties and communication styles across developmental stages require specific tasks. The absence of ...

Hierarchical attention fusion of EUS-doppler features for GISTs risk assessment.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Assessing the preoperative malignancy risk of gastrointestinal stromal tumors (GISTs) is crucial for determining the appropriate treatment plan and prognosis. The current automated diagnosis of GISTs based on endoscopic ultrasound (EUS) pose challeng...