AIMC Topic: Humans

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Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian cancer, more than 70 % of advanced patients are with recurrent cancer and decease. Surgical debulking of tumors following chemotherapy is the conventiona...

Local recurrence of robot-assisted total mesorectal excision: a multicentre cohort study evaluating the initial cases.

International journal of colorectal disease
PURPOSE: Evidence regarding local recurrence rates in the initial cases after implementation of robot-assisted total mesorectal excision is limited. This study aims to describe local recurrence rates in four large Dutch centres during their initial c...

Robotic Cochlear Implantation for Direct Cochlear Access.

Journal of visualized experiments : JoVE
Robot-assisted systems offer great potential for gentler and more precise cochlear implantation. In this article, we provide a comprehensive overview of the clinical workflow for robotic cochlear implantation using a robotic system specifically devel...

Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.

Sensors (Basel, Switzerland)
Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing pe...

A Review of Image Processing Techniques for Deepfakes.

Sensors (Basel, Switzerland)
Deep learning is used to address a wide range of challenging issues including large data analysis, image processing, object detection, and autonomous control. In the same way, deep learning techniques are also used to develop software and techniques ...

Using Deep Neural Networks for Human Fall Detection Based on Pose Estimation.

Sensors (Basel, Switzerland)
Requests for caring for and monitoring the health and safety of older adults are increasing nowadays and form a topic of great social interest. One of the issues that lead to serious concerns is human falls, especially among aged people. Computer vis...

Systems Drug Discovery for Diffuse Large B Cell Lymphoma Based on Pathogenic Molecular Mechanism via Big Data Mining and Deep Learning Method.

International journal of molecular sciences
Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtypes of DLBCL include germinal center b-cell (GCB) type and activated b-cell (ABC) type. To learn more about the pathogenesis of two DLBCL subtypes (i.e...

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Scientific data
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak detection through Natural Language Processing (NLP), machine learning models and deep learning tools. However, in order to train AI to facilitate these...

Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform.

BMC bioinformatics
BACKGROUND: The Open Targets (OT) Platform integrates a wide range of data sources on target-disease associations to facilitate identification of potential therapeutic drug targets to treat human diseases. However, due to the complexity that targets ...

Selfee, self-supervised features extraction of animal behaviors.

eLife
Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learning models are efficiently used in laboratories for behavior analysis. However, it has not been achieved to use an end-to-end unsupervised neural netw...