AIMC Topic: Middle Aged

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Intraoperative Assessment of Esophagogastric Junction Distensibility During Laparoscopic Heller Myotomy.

Surgical laparoscopy, endoscopy & percutaneous techniques
We sought to characterize the changes in esophagogastric junction (EGJ) distensibility during Heller Myotomy with Dor fundoplication using the EndoFLIP device. Intraoperative distensibility measurements on 14 patients undergoing Heller myotomy with D...

Exploiting machine learning for predicting skeletal-related events in cancer patients with bone metastases.

Oncotarget
The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictiv...

Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
BACKGROUND: Unsupervised learning technique allows researchers to identify different phenotypes of diseases with complex manifestations.

Objective prediction of pharyngeal swallow dysfunction in dysphagia through artificial neural network modeling.

Neurogastroenterology and motility
BACKGROUND: Pharyngeal pressure-flow analysis (PFA) of high resolution impedance-manometry (HRIM) with calculation of the swallow risk index (SRI) can quantify swallow dysfunction predisposing to aspiration. We explored the potential use of artificia...

Comparison of Bilateral Axillo-Breast Approach Robotic Thyroidectomy with Open Thyroidectomy for Graves' Disease.

World journal of surgery
BACKGROUND: There is an ongoing debate about whether robotic thyroidectomy (RT) is appropriate for Graves' disease. The aim of this study was to compare the safety of bilateral axillo-breast approach (BABA) RT with that of open thyroidectomy (OT) in ...

Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Oncotarget
Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery e...

Tongue-controlled robotic rehabilitation: A feasibility study in people with stroke.

Journal of rehabilitation research and development
Stroke survivors with severe upper limb (UL) impairment face years of therapy to recover function. Robot-assisted therapy (RT) is increasingly used in the field for goal-oriented rehabilitation as a means to improve function in ULs. To be used effect...

Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.

Journal of rehabilitation research and development
Cervical spondylotic myelopathy (CSM) is a chronic spinal disorder in the neck region. Its prevalence is growing rapidly in developed nations, creating a need for an objective assessment tool. This article introduces a system for quantifying hand mot...