AIMC Topic: Humans

Clear Filters Showing 32701 to 32710 of 95995 articles

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation.

International journal for numerical methods in biomedical engineering
Reducing the computational time required by high-fidelity, full-order models (FOMs) for the solution of problems in cardiac mechanics is crucial to allow the translation of patient-specific simulations into clinical practice. Indeed, while FOMs, such...

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

Histopathology
Artificial intelligence (AI)-based diagnostic tools can offer numerous benefits to the field of histopathology, including improved diagnostic accuracy, efficiency and productivity. As a result, such tools are likely to have an increasing role in rout...

Artificial intelligence-based classification of motor unit action potentials in real-world needle EMG recordings.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
OBJECTIVE: To develop an artificial neural network (ANN) for classification of motor unit action potential (MUAP) duration in real-word, unselected and uncleaned needle electromyography (n-EMG) recordings.

Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.

Prediction of cancer recurrence based on compact graphs of whole slide images.

Computers in biology and medicine
Cancer recurrence is one of the primary causes of patient mortality following treatment, indicating increased aggressiveness of cancer cells and difficulties in achieving a cure. A critical step to improve patients' survival is accurately predicting ...

Influence on the accuracy in ChatGPT: Differences in the amount of information per medical field.

International journal of medical informatics
OBJECTIVES: Although ChatGPT was not developed for medical use, there is growing interest in its use in medical fields. Understanding its capabilities and precautions for its use in the medical field is an urgent matter. We hypothesized that differen...

Computational methods in glaucoma research: Current status and future outlook.

Molecular aspects of medicine
Advancements in computational techniques have transformed glaucoma research, providing a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets. Systems genetics integrates genomic and clinical data, aiding in identif...

Learning curve for robotic rectal cancer resection at a community-based teaching institution.

Journal of robotic surgery
The surgical management of rectal cancer is shifting toward more widespread use of robotics across a spectrum of medical centers. There is evidence that the oncologic outcomes are equivalent to laparoscopic resections, and the post-operative outcomes...

Using Interoperability between Mobile Robot and KNX Technology for Occupancy Monitoring in Smart Home Care.

Sensors (Basel, Switzerland)
It is important for older and disabled people who live alone to be able to cope with the daily challenges of living at home. In order to support independent living, the Smart Home Care (SHC) concept offers the possibility of providing comfortable con...

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines.

BMC medical informatics and decision making
BACKGROUND: Clinical practice guidelines (CPGs) are designed to assist doctors in clinical decision making. High-quality research articles are important for the development of good CPGs. Commonly used manual screening processes are time-consuming and...