AIMC Topic: Humans

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Artificial intelligence-based diagnosis of the depth of laryngopharyngeal cancer.

Auris, nasus, larynx
OBJECTIVE: Transoral surgery (TOS) is a widely used treatment for laryngopharyngeal cancer. There are some difficult cases of setting the extent of resection in TOS, particularly in setting the vertical margins. However, positive vertical margins req...

A real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: development and multicenter prospective validation.

Endoscopy
BACKGROUND: The choice of polypectomy device and surveillance intervals for colorectal polyps are primarily decided by polyp size. We developed a deep learning-based system (ENDOANGEL-CPS) to estimate colorectal polyp size in real time.

Social chatbot use (e.g., ChatGPT) among individuals with social deficits: Risks and opportunities.

Journal of behavioral addictions
Social chatbots powered by artificial intelligence (AI) may be particularly appealing to individuals with social deficits or conditions that affect their social functioning. In this letter, we discuss some of the noteworthy characteristics of social ...

Automatic Photo-Cross-Linking System for Robotic-Based In Situ Bioprinting.

ACS biomaterials science & engineering
This work reports the design and validation of an innovative automatic photo-cross-linking device for robotic-based in situ bioprinting. Photo-cross-linking is the most promising polymerization technique when considering biomaterial deposition direct...

Application of metabolomics in diagnostics and differentiation of meningitis: A narrative review with a critical approach to the literature.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Due to its high mortality rate associated with various life-threatening sequelae, meningitis poses a vital problem in contemporary medicine. Numerous algorithms, many of which were derived with the aid of artificial intelligence, were brought up in a...

On the Use of Artificial Intelligence for Dosimetry of Radiopharmaceutical Therapies.

Nuklearmedizin. Nuclear medicine
Routine clinical dosimetry along with radiopharmaceutical therapies is key for future treatment personalization. However, dosimetry is considered complex and time-consuming with various challenges amongst the required steps within the dosimetry workf...

Classification of patients with chronic disease by activation level using machine learning methods.

Health care management science
Patient Activation Measure (PAM) measures the activation level of patients with chronic conditions and correlates well with patient adherence behavior, health outcomes, and healthcare costs. PAM is increasingly used in practice to identify patients n...

The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has shown promising potential for early and reliable detection of i...

View-independent gait events detection using CNN-transformer hybrid network.

Journal of biomedical informatics
Accurate gait detection is crucial in utilizing the ample health information embedded in it. Vision-based approaches for gait detection have emerged as an alternative to the exacting sensor-based approaches, but their application has been rather limi...