AIMC Topic: Humans

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Robot-assisted Treatment of Epigastric Hernias With a Suprapubic Approach.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: Robot-assisted ventral hernia repair has shown itself to be feasible and safe in abdominal wall surgery. Presently, the ports are placed laterally to meet the distance from the fascial defect. The aim of our study is to report our experie...

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit.

Scientific reports
Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve res...

Protein design and variant prediction using autoregressive generative models.

Nature communications
The ability to design functional sequences and predict effects of variation is central to protein engineering and biotherapeutics. State-of-art computational methods rely on models that leverage evolutionary information but are inadequate for importa...

Collective and synchronous dynamics of photonic spiking neurons.

Nature communications
Nonlinear dynamics of spiking neural networks have recently attracted much interest as an approach to understand possible information processing in the brain and apply it to artificial intelligence. Since information can be processed by collective sp...

Intraoperative and postoperative outcomes of robot-assisted cholecystectomy: a systematic review.

Systematic reviews
BACKGROUND: Rapid adoption of robotic-assisted general surgery procedures, particularly for cholecystectomy, continues while questions remain about its benefits and utility. The objective of this study was to compare the clinical effectiveness of rob...

Automatic glaucoma detection based on transfer induced attention network.

Biomedical engineering online
BACKGROUND: Glaucoma is one of the causes that leads to irreversible vision loss. Automatic glaucoma detection based on fundus images has been widely studied in recent years. However, existing methods mainly depend on a considerable amount of labeled...

Artificial intelligence-based nomogram for small-incision lenticule extraction.

Biomedical engineering online
BACKGROUND: Small-incision lenticule extraction (SMILE) is a surgical procedure for the refractive correction of myopia and astigmatism, which has been reported as safe and effective. However, over- and under-correction still occur after SMILE. The n...

Semantic segmentation of human oocyte images using deep neural networks.

Biomedical engineering online
BACKGROUND: Infertility is a significant problem of humanity. In vitro fertilisation is one of the most effective and frequently applied ART methods. The effectiveness IVF depends on the assessment and selection of gametes and embryo with the highest...

Machine Learning-Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation.

Journal of medical Internet research
BACKGROUND: National governments worldwide have implemented nonpharmaceutical interventions to control the COVID-19 pandemic and mitigate its effects.

Multi-input deep learning approach for Cardiovascular Disease diagnosis using Myocardial Perfusion Imaging and clinical data.

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)
PURPOSE: Accurate detection and treatment of Coronary Artery Disease is mainly based on invasive Coronary Angiography, which could be avoided provided that a robust, non-invasive detection methodology emerged. Despite the progress of computational sy...