AIMC Topic: Humans

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Robot-assisted radical cystectomy: Review of surgical technique, and perioperative, oncological and functional outcomes.

International journal of urology : official journal of the Japanese Urological Association
Since the introduction of robot-assisted radical cystectomy, efforts have been made to meet the standards in terms of perioperative safety and oncological efficacy. Several randomized controlled studies and meta-analyses, and multi-institutional stud...

Overlooked pitfalls in multi-class machine learning classification in radiation oncology and how to avoid them.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
In radiation oncology, Machine Learning classification publications are typically related to two outcome classes, e.g. the presence or absence of distant metastasis. However, multi-class classification problems also have great clinical relevance, e.g...

Pilot and Feasibility Study on Elderly Support Services Using Communicative Robots and Monitoring Sensors Integrated With Cloud Robotics.

Clinical therapeutics
PURPOSE: This pilot before-after study investigated the possible effects of communicative robots, used with a sensing system supported by cloud robotics, in caring for elderly people.

Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.

Acta ophthalmologica
PURPOSE: Recent advances in deep learning have seen an increase in its application to automated image analysis in ophthalmology for conditions with a high prevalence. We wanted to identify whether deep learning could be used for the automated classif...

Deep pancreas segmentation with uncertain regions of shadowed sets.

Magnetic resonance imaging
Pancreas segmentation is a challenging task in medical image analysis especially for the patients with pancreatic cancer. First, the images often have poor contrast and blurred boundaries. Second, there exist large variations in gray scale, texture, ...

Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

International journal of radiation oncology, biology, physics
PURPOSE: To develop a tradeoff hyperplane model to facilitate tradeoff decision-making before inverse planning.

A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms.

Annals of biomedical engineering
The objective of this work was to perform image-based classification of abdominal aortic aneurysms (AAA) based on their demographic, geometric, and biomechanical attributes. We retrospectively reviewed existing demographics and abdominal computed tom...

A machine-learning approach to predicting hypotensive events in ICU settings.

Computers in biology and medicine
BACKGROUND: Predicting hypotension well in advance provides physicians with enough time to respond with proper therapeutic measures. However, the real-time prediction of hypotension with high positive predictive value (PPV) is a challenge. This is du...

Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review.

Artificial intelligence in medicine
Modern computer technology sheds light on new ways of innovating Traditional Chinese Medicine (TCM). One method that gets increasing attention is the quantitative research method, which makes use of data mining and artificial intelligence technology ...