AIMC Topic: Humans

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Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?

European radiology
OBJECTIVES: To compare the image quality and hepatic metastasis detection of low-dose deep learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative reconstruction (IR).

Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning.

Clinical oral investigations
OBJECTIVES: The aim of this review was to investigate the application of artificial intelligence (AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the discussion of limitations and possible future directions.

Robot-Assisted Laparoscopic Radical Prostatectomy Utilizing Hugo RAS Platform: Initial Experience.

Journal of endourology
The Hugo RAS™ is a newly launched robotic system for clinical use. This article provides the initial outcomes of patients undergoing radical prostatectomy with Hugo RAS. It also attempts to compare the outcomes with a similar set of patients undergo...

Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children.

Pediatric research
Continuous cardiorespiratory physiological monitoring is a cornerstone of care in hospitalized children. The data generated by monitoring devices coupled with machine learning could transform the way we provide care. This scoping review summarizes ex...

Artificial intelligence to support early diagnosis of temporomandibular disorders: A preliminary case study.

Journal of oral rehabilitation
BACKGROUND: Temporomandibular disorders (TMDs) are disabling conditions with a negative impact on the quality of life. Their diagnosis is a complex and multi-factorial process that should be conducted by experienced professionals, and most TMDs remai...

Effect of Postoperative Pain Management after Robot-Assisted Radical Prostatectomy: A Study on Reducing Hospital Length of Stay and Medical Costs Using Japanese Nationwide Database.

The Tohoku journal of experimental medicine
Prostate cancer has a high incidence rate. Many articles reported its usefulness with the advent of robotic surgery in 2001. However, epidural analgesia is declining due to the spread of minimally invasive treatment. There have been no studies using ...

Multi-perspective region-based CNNs for vertebrae labeling in intraoperative long-length images.

Computer methods and programs in biomedicine
PURPOSE: Effective aggregation of intraoperative x-ray images that capture the patient anatomy from multiple view-angles has the potential to enable and improve automated image analysis that can be readily performed during surgery. We present multi-p...

KDE-GAN: A multimodal medical image-fusion model based on knowledge distillation and explainable AI modules.

Computers in biology and medicine
BACKGROUND: As medical images contain sensitive patient information, finding a publicly accessible dataset with patient permission is challenging. Furthermore, few large-scale datasets suitable for training image-fusion models are available. To addre...

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning.

Sensors (Basel, Switzerland)
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every j...