Hospital-Based Medicine

Design and implementation of a smart Internet of Things chest pain center based on deep learning.

The data input process for most chest pain centers is not intelligent, requiring a lot of staff to manually input patient information. This leads to problems such as long processing times, high potential for errors, an inability to access patient data in a timely manner and an increasing workload. To address the challenge, an Internet of Things (IoT)-driven chest pain center is designed, which cro...

Optimal design of triangular side orifice using multi-objective optimization NSGA-II.

Triangular orifices are widely used in industrial and engineering applications, including fluid metering, flow control, and measurement. Predicting discharge through triangle orifices is critical for correct operation and design optimization in various industrial and engineering applications. Traditional approaches like empirical equations have accuracy and application restrictions, whereas comput...

Prediction of the Fatal Acute Complications of Myocardial Infarction via Machine Learning Algorithms.

BACKGROUND: Myocardial infarction (MI) is a major cause of death, particularly during the first year. The avoidance of potentially fatal outcomes requ...

[Exploration of remote management and an intelligent platform for in-hospital respiratory therapy].

The construction of an intelligent remote management platform for respiratory therapy, utilizing artificial intelligence (AI) and the electronic medic...

Initial Experience of Robot-Assisted Simple Prostatectomy with Hugo Robot-Assisted Surgery System: Step-by-Step Description of Two Different Techniques.

There are only a few clinical data on nononcologic procedures performed with the new Hugo™ robot-assisted surgery (RAS) system. Robot-assisted simple...

[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].

OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day surgery in the field of surgery, the average length-o...

DeepTraSynergy: drug combinations using multimodal deep learning with transformers.

MOTIVATION: Screening bioactive compounds in cancer cell lines receive more attention. Multidisciplinary drugs or drug combinations have a more effect...

Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people worldwide. Assessing the level and duration of SARS-CoV...

QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.

QT prolongation often leads to fatal arrhythmia and sudden cardiac death. Antiarrhythmic drugs can increase the risk of QT prolongation and therefore ...

Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.

Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which m...

Artificial intelligence may enhance emergency triage and management.

The entry of Artificial Intelligence (AI) into Intensive Care has become a reality. We think that only with robust validation studies accomplished by ...

Single-Port Multiple-Port Robot-Assisted Laparoscopic Pyeloplasty for the Treatment of Ureteropelvic Junction Obstruction: A Systematic Review and Meta-Analysis.

Single-port robot-assisted pyeloplasty (SP-RP) has been performed in recent years. However, the advantages and disadvantages of SP-RP compared with m...

1st International Conference on Biomedical Sciences, Dow University of Health Sciences, Karachi Pakistan.

Institute of Biomedical Sciences (IBMS) at Dow University of Health Sciences (DUHS), organised a two day's conference on Biomedical Sciences. IBMS bei...

[The Effect of Naldemedine Tosylate on the Postoperative Course of Robot-Assisted Radical Cystectomy].

Radical cystectomy is an invasive procedure frequently followed by postoperative complications. Although the protocol of enhanced recovery after surge...

[Network meta-analysis comparing the clinical outcomes and safety of robotic, laparoscopic, and transanal total rectal mesenteric resection for rectal cancer].

To methodically assess the clinical effectiveness and safety of robot-assisted total rectal mesenteric resection (RTME), laparoscopic-assisted total ...

In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts.

Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a ...

Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.

This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsup...

Preliminary Experience of Partial Nephrectomy Through a New Single-Port Surgical Robot System.

To explore the preliminary safety and efficacy of the Shurui single-port (SP) surgical robot in partial nephrectomy (PN). This study prospectively e...

[Advances in heart failure clinical research based on deep learning].

Heart failure is a disease that seriously threatens human health and has become a global public health problem. Diagnostic and prognostic analysis of ...

Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery.

Applications for artificial intelligence (AI) and machine learning in surgery include image interpretation, data summarization, automated narrative co...