Hospital-Based Medicine

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

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The ethics of advancing artificial intelligence in healthcare: analyzing ethical considerations for Japan's innovative AI hospital system.

Public and private investments into developing digital health technologies-including artificial inte...

Establishment of a successful robotic pediatric general surgery practice.

Robotic-assisted surgery (RAS) has a variety of theoretical advantages, including tremor filtration,...

Prediction of oxygen supplementation by a deep-learning model integrating clinical parameters and chest CT images in COVID-19.

PURPOSE: As of March 2023, the number of patients with COVID-19 worldwide is declining, but the earl...

Machine learning to predict curative multidisciplinary team treatment decisions in oesophageal cancer.

BACKGROUND: Rising workflow pressures within the oesophageal cancer (OC) multidisciplinary team (MDT...

Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.

Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as arti...

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...

Early perioperative outcomes of single-port compared to multi-port robot-assisted laparoscopic partial nephrectomy.

Single-port (SP) robot-assisted laparoscopic partial nephrectomy (RAPN) is a promising new technique...

Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...

The safe introduction of robotic surgery in a free-standing children's hospital.

The aim of this study is to report the experience of implementing a pediatric robotic surgery progra...

Open versus robot-assisted partial nephrectomy for highly complex renal masses: a meta-analysis of perioperitive and functional outcomes.

Robot-assisted partial nephrectomy (RAPN) is increasingly being used for the complex surgical manage...

Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.

Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning te...

Identifying inpatient mortality in MarketScan claims data using machine learning.

PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...

Management for Benign Ureteral Stricture: Comparison of Robot-Assisted Laparoscopy, Conventional Laparoscopy, and Balloon Dilation.

Robot-assisted laparoscopy (RALP), conventional laparoscopy (LP), and balloon dilation (BD) have al...

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study.

Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency D...

Hybrid Life: Integrating biological, artificial, and cognitive systems.

Artificial life is a research field studying what processes and properties define life, based on a m...

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images.

Medical centers and healthcare providers have concerns and hence restrictions around sharing data wi...

Utility of ChatGPT in Clinical Practice.

ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...

Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management.

Inertial sensors can serve as inertial references for space missions and require charge management s...

Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm.

Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences ...

Role of Reference Frames for a Safe Human-Robot Interaction.

Safety plays a key role in human-robot interactions in collaborative robot (cobot) applications. Thi...

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