AIMC Topic: Humans

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Machine Learning Approaches to Prognostication in Traumatic Brain Injury.

Current neurology and neuroscience reports
PURPOSE OF REVIEW: This review investigates the use of machine learning (ML) in prognosticating outcomes for traumatic brain injury (TBI). It underscores the benefits of ML models in processing and integrating complex, multimodal data-including clini...

Artificial Intelligence Methods for Diagnostic and Decision-Making Assistance in Chronic Wounds: A Systematic Review.

Journal of medical systems
Chronic wounds, which take over four weeks to heal, are a major global health issue linked to conditions such as diabetes, venous insufficiency, arterial diseases, and pressure ulcers. These wounds cause pain, reduce quality of life, and impose signi...

Comparison of surgical approaches to the hippocampal formation with artificial intelligence.

Neurosurgical review
The relatively complex functional anatomy of the mediobasal temporal region makes surgical approaches to this area challenging. Several studies describe various surgical approaches, along with their combinations and modifications, to reach lesions of...

Exploring a decade of deep learning in dentistry: A comprehensive mapping review.

Clinical oral investigations
OBJECTIVES: Artificial Intelligence (AI), particularly deep learning, has significantly impacted healthcare, including dentistry, by improving diagnostics, treatment planning, and prognosis prediction. This systematic mapping review explores the curr...

Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.

Current cardiology reports
PURPOSE OF REVIEW: This review explores the role of artificial intelligence (AI) in cardio-oncology, focusing on its latest application across problems in diagnosis, prognosis, risk stratification, and management of cardiovascular (CV) complications ...

Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation.

Journal of medical Internet research
BACKGROUND: Amiodarone treatment requires repeated laboratory evaluations of thyroid and liver function due to potential side effects. Robotic process automation uses software robots to automate repetitive and routine tasks, and their use may be exte...

Deep learning-based video-level view classification of two-dimensional transthoracic echocardiography.

Biomedical physics & engineering express
In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocardiography (TTE) has demonstrated strong performance, but has not fully addressed key clinical requirements such as view coverage, classification accura...

Geometric neural network based on phase space for BCI-EEG decoding.

Journal of neural engineering
The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent stages compared to their success in fields like Computer Vision. This is particularly true for Brain-computer interface (BCI), where the brain activity ...

Artificial intelligence-powered 3D analysis of video-based caregiver-child interactions.

Science advances
We introduce HARMONI, a three-dimensional (3D) computer vision and audio processing method for analyzing caregiver-child behavior and interaction from observational videos. HARMONI operates at subsecond resolution, estimating 3D mesh representations ...

World and Human Action Models towards gameplay ideation.

Nature
Generative artificial intelligence (AI) has the potential to transform creative industries through supporting human creative ideation-the generation of new ideas. However, limitations in model capabilities raise key challenges in integrating these te...