AIMC Topic: Humans

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Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.

Internal and emergency medicine
Artificial Intelligence and machine learning (ML) methods are promising for risk-stratification, but the added benefit over traditional statistical methods remains unclear. We compared predictive models developed using machine learning (ML) methods t...

Robotic repair of post-oesophagectomy hiatal hernia.

Annals of the Royal College of Surgeons of England
Diaphragmatic hiatal hernia is a potential complication of oesophagectomy in cancer patients. Over the past decades, laparoscopy has become the preferred approach to repairing this condition due to the reduced morbidity, faster recovery and shorter h...

A novel Joint-Net model for recognizing small-bowel polyp images.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
INTRODUCTION: To automatically recognize polyps of enteroscopy images and avoid pathological change, a novel Joint-Net has been proposed.

Changes in outcomes and operative trends with pediatric robot-assisted resection of choledochal cyst.

Surgical endoscopy
BACKGROUND: This study aimed to report our experience with a robot-assisted resection of choledochal cysts (CCs) in pediatric patients, especially focusing on changes in outcomes and operative trends.

Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.

European journal of pediatrics
There is increasing evidence that patient heterogeneity significantly hinders advancement in clinical trials and individualized care. This study aimed to identify distinct phenotypes in extremely low birth weight infants. We performed an agglomerativ...

Accurate classification of plasma cell dyscrasias is achieved by combining artificial intelligence and flow cytometry.

British journal of haematology
Monoclonal gammopathy of unknown significance (MGUS), smouldering multiple myeloma (SMM), and multiple myeloma (MM) are very common neoplasms. However, it is often difficult to distinguish between these entities. In the present study, we aimed to cla...

Survival analysis with semi-supervised predictive clustering trees.

Computers in biology and medicine
Many clinical studies follow patients over time and record the time until the occurrence of an event of interest (e.g., recovery, death, …). When patients drop out of the study or when their event did not happen before the study ended, the collected ...

A multiscale double-branch residual attention network for anatomical-functional medical image fusion.

Computers in biology and medicine
Medical image fusion technology synthesizes complementary information from multimodal medical images. This technology is playing an increasingly important role in clinical applications. In this paper, we propose a new convolutional neural network, wh...

Effect of Robot-assisted Rehabilitation to Botulinum Toxin A Injection for Upper Limb Disability in Patients with Chronic Stroke: A Case Series and Systematic Review.

Neurologia medico-chirurgica
Combining single-joint hybrid assistive limb (HAL-SJ) with botulinum toxin A (BTX-A) therapy is novel and has great therapeutic potential for the rehabilitation of stroke patients with upper limb paralysis. The purpose of this observational case seri...