Hospital-Based Medicine

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

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[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].

The current study aimed to evaluate the application value of the domestic otolaryngology-specific fl...

The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

Reducing readmissions in the safety net through AI and automation.

OBJECTIVES: To implement a technology-based, systemwide readmission reduction initiative in a safety...

A dataset and benchmark for hospital course summarization with adapted large language models.

OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's h...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Learning to Teach AI: Understanding the Needs of Healthcare Professionals.

As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimi...

[Vigorously advancing the application of AI in the diagnosis and treatment of ocular surface and tear diseases].

Ocular surface and tear diseases are among the most common and significant ocular conditions affecti...

Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...

Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant ...

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...

[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...

canSAR 2024-an update to the public drug discovery knowledgebase.

canSAR (https://cansar.ai) continues to serve as the largest publicly available platform for cancer-...

Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19.

BACKGROUND: Disease presentation and progression can vary greatly in heterogeneous diseases, such as...

Artificial intelligence and patient narratives: A novel approach to assessing hope in patients with cancer.

The present study aimed to evaluate the feasibility of patient-generated text and its interpretation...

AI in optimized cancer treatment: laying the groundwork for interdisciplinary progress.

The molecular complexity of cancer presents significant challenges to traditional therapeutic approa...

Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...

Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients a...

LeFood-set: Baseline performance of predicting level of leftovers food dataset in a hospital using MT learning.

Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as i...

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