Hospital-Based Medicine

Early home discharge after robot-assisted coronary artery bypass grafting.

OBJECTIVES: Robot-assisted coronary artery bypass grafting (CABG) has been developed as a less invasive alternative for conventional CABG to enhance postoperative recovery, patient satisfaction and early discharge to home. Furthermore, it may provide a basis for hybrid coronary revascularization. To determine the feasibility of this procedure, we compared robot-assisted with conventional off-pump ...

Care Models for Acute Chest Pain That Improve Outcomes and Efficiency: JACC State-of-the-Art Review.

Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expensive. In this review, the authors describe existing chest pain pathways and current issues at the patient and system level, and provide an overview of recent advances in chest pain research that could inform improved outcomes for both patients and health systems. There are multiple avenues to improv...

AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.

A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes...

Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District.

This study aims to investigate the prediction of hospital readmission of alcohol use disorder patients within 28 days of discharge and compare the per...

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 boards (MTBs). These meetings have been introduced t...

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, this is the vision many people have. Currently, the...

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 response and immediate care are considered in agi...

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility and pelvic pain. Minimally invasive surgery provid...

[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 threatens the life and health of patients. At present...

Senhance robot-assisted adrenalectomy: a case series.

We present a case series of 12 consecutive robot-assisted adrenalectomies performed from May 2019 to March 2020 by a single surgeon experienced in lap...

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 colonic enema (ACE) channel creation for the treatment ...

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 dollars each year worldwide, disproportionately af...

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

The promise of highly personalized oncology care using artificial intelligence (AI) technologies has been forecasted since the emergence of the field....

"White bile" as a result of a malignant bile obstruction.

An 87-year-old female was admitted for endoscopic retrograde cholangiopancreatography (ERCP) due to obstructive jaundice. On admission, total bilirubi...

Robotic Kidney Transplant: The Modern Era Technical Revolution.

Since the mid 20th century, transplantation has been a fast-developing field of contemporary medicine. The technical aspects of transplant operations ...

A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer. The literature has noted that prostate cancer pat...

Data-driven technique for disruption prediction in GOLEM tokamak using stacked ensembles with active learning.

In a tokamak, disruption is defined as losing control over a confined plasma resulting in sudden extinction of the plasma current. Machine learning of...

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 data parity in disease presentation, treatment re...

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 adverse events and is associated with prolonged i...

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 remains a challenging task for physicians. Although mo...