AIMC Topic: Humans

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DRaW: prediction of COVID-19 antivirals by deep learning-an objection on using matrix factorization.

BMC bioinformatics
BACKGROUND: Due to the high resource consumption of introducing a new drug, drug repurposing plays an essential role in drug discovery. To do this, researchers examine the current drug-target interaction (DTI) to predict new interactions for the appr...

Restoring speech intelligibility for hearing aid users with deep learning.

Scientific reports
Almost half a billion people world-wide suffer from disabling hearing loss. While hearing aids can partially compensate for this, a large proportion of users struggle to understand speech in situations with background noise. Here, we present a deep l...

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries.

Scientific reports
Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environment...

A low-power and flexible bioinspired artificial sensory neuron capable of tactile perceptual and associative learning.

Journal of materials chemistry. B
Biomimetic haptic neuron systems have received a lot of attention from the booming artificial intelligence industry for their wide applications in personal health monitoring, electronic skin, and human-machine interfaces. In this work, inspired by th...

Evaluation of the Efficiency of a Joystick-Guided Robotic Scope Holder Compared to That of Human Scopists: A Prospective Trial.

Surgical innovation
PURPOSE: This study aimed to compare motions of the laparoscope tip during a laparoscopic task in a training box using a recent joystick-guided robotic scope holder to those manipulated by human scopists. We hypothesized that laparoscopic manipulatio...

Defining the learning curve of robotic portal segmentectomy in small pulmonary lesions: a prospective observational study.

Journal of robotic surgery
Although robotic segmentectomy has been applied for the treatment of small pulmonary lesions for many years, studies on the learning curve of robotic segmentectomy are quite limited. Thus, we aim to investigate the learning curve of robotic portal se...

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.

European radiology
OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative adjuvant treatment and monitoring. We aimed to explore the feasibility of ...

Comparison of oncological and functional outcomes of perineoscopic radical prostatectomy and robot-assisted radical prostatectomy.

Updates in surgery
The aim of this study is to compare the functional, oncological, and complication outcomes of perineoscopic radical prostatectomy (PeRP) and robot-assisted radical prostatectomy (RARP) operations. Patients who underwent radical prostatectomy (RP) bet...

Scientific novelty beyond the experiment.

Microbial biotechnology
Practical experiments drive important scientific discoveries in biology, but theory-based research studies also contribute novel-sometimes paradigm-changing-findings. Here, we appraise the roles of theory-based approaches focusing on the experiment-d...