AIMC Topic: Humans

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Deep learning-based fast denoising of Monte Carlo dose calculation in carbon ion radiotherapy.

Medical physics
BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verification are based on phantom measurement, which is labor-intensive and time-consuming. Although the pl...

Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct observational feedback by experts is rarely provided because of time constraints and is typically only qualitative. Automated, video-based, quantitative...

Robot-assisted radical nephrectomy using novel surgical robot platform, hinotori: Report of initial series of 13 cases.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: The aims of the present study were to describe the perioperative findings of the first series of patients undergoing robot-assisted radical nephrectomy (RARN) with a newly launched platform, the hinotori surgical robot system, and compare...

Descriptor-Free Deep Learning QSAR Model for the Fraction Unbound in Human Plasma.

Molecular pharmaceutics
Chemical-specific parameters are either measured in vitro or estimated using quantitative structure-activity relationship (QSAR) models. The existing body of QSAR work relies on extracting a set of descriptors or fingerprints, subset selection, and t...

Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal.

Computers in biology and medicine
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of accurately labeled data and single data type usage, prove insuffic...

Infant death prediction using machine learning: A population-based retrospective study.

Computers in biology and medicine
BACKGROUND: Despite declines in infant death rates in recent decades in the United States, the national goal of reducing infant death has not been reached. This study aims to predict infant death using machine-learning approaches.

The CNN model aided the study of the clinical value hidden in the implant images.

Journal of applied clinical medical physics
PURPOSE: This article aims to construct a new method to evaluate radiographic image identification results based on artificial intelligence, which can complement the limited vision of researchers when studying the effect of various factors on clinica...

Comparative Analysis of the Efficacy of Intrathecal Fentanyl and Magnesium Sulphate as an Adjuvant to Bupivacaine: A Double-Blinded Randomized Controlled Trial.

Asian journal of anesthesiology
BACKGROUNDS: The duration and potency of the subarachnoid block (SAB) can be enhanced by incorporating spinal additives into local anesthetics. In this study, the effectiveness of intrathecal fentanyl and magnesium sulphate as adjuvant anesthetics to...