Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Deep Learning and Explainable Artificial Intelligence to Predict Patients' Choice of Hospital Levels in Urban and Rural Areas.

Maldistribution of healthcare resources among urban and rural areas is a significant challenge world...

The First Introduction of Social Robotics in Rehabilitation Care.

Can you imagine to receive treatment through a robot? When talking about the future of healthcare, t...

Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases.

In many countries, the management of cancer patients must be discussed in multidisciplinary tumor bo...

User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain ...

Towards the Application of Machine Learning in Emergency Informatics.

Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid...

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility ...

[Research progress of in-hospital mortality risk model in patients with acute myocardial infarction].

The incidence of in-hospital death in acute myocardial infarction (AMI) is high, which seriously thr...

Senhance robot-assisted adrenalectomy: a case series.

We present a case series of 12 consecutive robot-assisted adrenalectomies performed from May 2019 to...

[Epilepsy detection and analysis method for specific patient based on data augmentation and deep learning].

In recent years, epileptic seizure detection based on electroencephalogram (EEG) has attracted the w...

Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations.

The promise of highly personalized oncology care using artificial intelligence (AI) technologies has...

Machine learning to predict passenger mortality and hospital length of stay following motor vehicle collision.

OBJECTIVE: Motor vehicle collisions (MVCs) account for 1.35 million deaths and cost $518 billion US ...

Antegrade Colonic Enema Channels in Pediatric Patients Using Appendix or Cecal Flap: A Comparative Robotic Open Series.

We present perioperative outcomes of a single-center experience with robot-assisted antegrade colon...

Robotic Kidney Transplant: The Modern Era Technical Revolution.

Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicin...

Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-...

Development and Internal Validation of Machine Learning Algorithms for Predicting Hyponatremia After TJA.

BACKGROUND: The development of hyponatremia after total joint arthroplasty (TJA) may lead to several...

Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.

The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater...

Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests rema...

Decision support model for the patient admission scheduling problem based on picture fuzzy aggregation information and TOPSIS methodology.

Health care systems around the world do not have sufficient medical services to immediately offer el...

Evaluating the state of the art in missing data imputation for clinical data.

Clinical data are increasingly being mined to derive new medical knowledge with a goal of enabling g...

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other ...

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