Publications by authors named "John Henao"

Data-driven approaches have achieved great success in various medical image analysis tasks. However, fully-supervised data-driven approaches require unprecedentedly large amounts of labeled data and often suffer from poor generalization to unseen new data due to domain shifts. Various unsupervised domain adaptation (UDA) methods have been actively explored to solve these problems.

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Article Synopsis
  • The study aimed to assess the severity of COVID-19 using a new AI model called AssessNet-19, comparing it to traditional single-class models and expert radiologists' assessments in chest CT scans.
  • The model was developed through a two-stage process involving manual segmentation of lung lesions and the extraction of radiomic features, ultimately classifying disease severity using a machine learning approach.
  • AssessNet-19 outperformed radiologists and single-class models in accuracy, achieving a high F1-score and demonstrating strong consistency in quantifying disease extent.
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The mechanical behaviour of a DMLS Ti-6Al-4V gyroid-based cellular structure (CS), with potential application in the fabrication of implants, was studied under compressive conditions. The influence of the CS volumetric fraction on the elastic modulus was experimentally evaluated in cubic and cylindrical samples. The experimental results showed that the selected parameters allowed approximating the mechanical behaviour of the CS to that of trabecular bone.

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The pseudocapacitive properties of CeO are largely dependent on its surface Faradaic redox reaction kinetics; however, its electrochemical performance is still limited by the low utilization due to the inefficient diffusionfreeways and the limited active sites. Herein, we prepare a 0D/3D composite composed of oxygen-deficient CeO quantum dots (0D) anchored on a 3D hollow porous N-doped carbon framework (CeO QD@PHC) via a facile template-confined strategy followed by a chemical co-precipitation. The refined QDs and hollow structure greatly shorten the ion diffusion paths and lower the internal strain during cycling.

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As a larger elderly human population is expected worldwide in the next 30 years, the occurrence of aging-associated illnesses will also be increased. The use of prosthetic devices by this population is currently important and will be even more dramatic in the near future. Hence, the design of prosthetic devices able to reduce some of the problems associated with the use of current components, such as stress shielding, reduced mobility, infection, discomfort, etc.

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Background: Perphenazine is a treatment option in postoperative nausea and vomiting (PONV) prophylaxis. Chronic administration and high dose are known to cause extrapyramidal system (EPS) dysfunction at a frequency of 8%, but the incidence of acute EPS after a single 4 or 8 mg dose is unknown.

Objective: A retrospective analysis of patient medication billing data and departmental quality records was performed (January 2001 to 10 July 2012) to identify patients who experienced EPS dysfunction after oral perphenazine.

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Study Objective: To survey anesthesia providers for their opinion on "best practice" in perioperative peripheral intravenous catheter (PIV) management, and to determine if they follow those opinions.

Design: Survey instrument.

Setting: Academic medical center.

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