Hospital-Based Medicine

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

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Occupational health and safety risk assessment using a fuzzy multi-criteria approach in a hospital in Chennai, India.

Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in ho...

An automated deep learning method and novel cardiac index to detect canine cardiomegaly from simple radiography.

Since most of degenerative canine heart diseases accompany cardiomegaly, early detection of cardiac ...

Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan.

The aging world population requires a sustainable and high-quality healthcare system. To examine the...

Impact of Hospital Volume on Utilization of Minimally Invasive Surgery for Gastric Cancer.

BACKGROUND: Minimally invasive surgery (MIS) for gastric cancer is increasingly performed. The purpo...

Similar hospital profits with robotic-assisted paraesophageal hiatal hernia repair, despite higher or supply costs.

INTRODUCTION: Robotic-assisted laparoscopic surgery has emerged as an alternative to traditional lap...

Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network.

The invention describes a deep learning-based technique for monitoring power grid information operat...

Hierarchical label-wise attention transformer model for explainable ICD coding.

International Classification of Diseases (ICD) coding plays an important role in systematically clas...

Application of an EMG-Rehabilitation Robot in Patients with Post-Coronavirus Fatigue Syndrome (COVID-19)-A Feasibility Study.

This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...

Imbalanced prediction of emergency department admission using natural language processing and deep neural network.

The emergency department (ED) plays a very significant role in the hospital. Owing to the rising num...

Inpatient Fall Prediction Models: A Scoping Review.

INTRODUCTION: The digitization of hospital systems, including integrated electronic medical records,...

Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study.

Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuri...

Application of Machine Learning in Hospitalized Patients with Severe COVID-19 Treated with Tocilizumab.

Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with S...

A Home-based Tele-rehabilitation System With Enhanced Therapist-patient Remote Interaction: A Feasibility Study.

As a promising alternative to hospital-based manual therapy, robot-assisted tele-rehabilitation ther...

Ultrasound Evaluation of Pelvic Floor Function after Transumbilical Laparoscopic Single-Site Total Hysterectomy Using Deep Learning Algorithm.

This study was aimed at investigating the ultrasound based on deep learning algorithm to evaluate th...

Research on the Development of Hospital Intelligent Finance Based on Artificial Intelligence.

Based on the development background of the interweaving and integration of computer technology and I...

Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology.

INTRODUCTION: In the last few years, pharmaceutical technology has evolved. In the field of oncology...

Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs.

Accurate estimation of mortality and time to death at admission for COVID-19 patients is important a...

The Ability of Robot-Assisted Total Knee Arthroplasty in Matching the Efficiency of Its Conventional Counterpart at an Orthopaedic Specialty Hospital.

BACKGROUND: Robot-assisted total knee arthroplasty (RA-TKA) has become a popular technology. Studies...

A preliminary prediction model using a deep learning software program for prolonged hospitalization after cardiovascular surgery.

A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing ca...

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