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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Journal of medical Internet research
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...

Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.

Asian Pacific journal of cancer prevention : APJCP
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is responsible for the most deaths amongst children. Due to major improvements in the treatment protocols in the 50-years period, the survivability of thi...

Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
This study aimed to investigate the needs of medical users of telemedicine robots to encourage international cooperation and development. As the use of telemedicine expands, it is necessary to develop new systems, including robots, which consider t...

Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design.

Artificial intelligence in medicine
OBJECTIVE: Optimizing timing of defibrillation by evaluating the likelihood of a successful outcome could significantly enhance resuscitation. Previous studies employed conventional machine learning approaches and hand-crafted features to address thi...

[Ethical, legal and social requirements for assistive robots in healthcare : Viewpoint of management personnel in hospitals and nursing homes].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: In 2030 there will be 4 million people in need of care in Germany; however, the nursing care sector is already suffering from a shortage of skilled workers. Innovative approaches are thus required. One possible solution with high future p...

Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery.

Surgical endoscopy
BACKGROUND: Disparities in access to robotic surgery have been shown on the local, regional, and national level. This study aims to see if the location of hospitals with robotic platforms (HWR) correlates with population trends to explain the dispari...

Can Disinfection Robots Reduce the Risk of Transmission of SARS-CoV-2 in Health Care and Educational Settings?

Journal of medical Internet research
We explore the opportunities and challenges surrounding the use of disinfection robots to reduce the risk of SARS-CoV-2 transmission in health care and educational settings. Although there is some potential for deploying robots to help with manual cl...

Hospital robotic use for colorectal cancer care.

Journal of robotic surgery
The use of robotic surgery for colorectal cancer continues to increase. However, not all organizations offer patients the option of robotic intervention. This study seeks to understand organizational characteristics associated with the utilization of...

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Applied clinical informatics
BACKGROUND: Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictiv...

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Nature communications
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac...