AIMC Topic: Humans

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Developing and external validating a prediction model using machine learning and logistic regression: informing the surgical approach for robotic surgery based on preoperative MRI.

Journal of robotic surgery
BACKGROUND: Preoperative prediction of surgical difficulty in robotic-assisted total mesorectal excision for rectal cancer remains challenging. While pelvic anatomical parameters measured by MRI have been associated with surgical complexity in laparo...

Exploring hypoxia- and cuproptosis-related biomarkers in periodontitis based on transcriptome and single-cell analysis.

Clinical oral investigations
BACKGROUND: Periodontitis (PD) is a chronic, multifactorial inflammatory disorder characterized by the progressive destruction of periodontal tissues. Increasing evidence indicates that the dysregulation of hypoxia-related genes (HRGs) plays a pivota...

Application of Fully Convolutional Neural Networks in the Assessment of Cerebral White Matter Involvement in Primary Sjögren's Syndrome.

Neuroinformatics
Central nervous system (CNS) involvement in primary Sjögren's syndrome (pSS), although less frequent, can lead to serious complications. Our study aimed to assess white matter (WM) tract integrity, identify specific regions of disruption, quantify di...

The Use of Artificial Intelligence for Personalized Treatment in Psychiatry.

Current psychiatry reports
PURPOSE OF REVIEW: This review examines the role of artificial intelligence (AI) in psychiatry in the past 5 years across four domains: screening; outcome prediction; risk and relapse prediction; and psychotherapy.

GTV segmentation in MRI guided radiotherapy with promptable foundation models.

Physics in medicine and biology
. Magnetic resonance imaging (MRI) guided radiotherapy requires the delineation of gross tumor volumes (GTV) in daily MRI from MRI-linacs. Specialized models have been developed for this task for certain tumors. This study investigated an alternative...

Hybrid BCI-based instruction set for dual robotic arm control using EEG and eye movement signals.

Biomedical physics & engineering express
A brain-computer interface (BCI) establishes a pathway for information transmission between a human (or animal) and an external device. It can be used to control devices such as prosthetic limbs and robotic arms, which in turn assist, rehabilitate, a...

AI evolution: bring biomimicry to language models.

Bioinspiration & biomimetics
Humans can now emulate language in silica-based neural networks, but we remain ignorant about how language emerged in carbon-based neural networks in the first place. This gap represents not merely a scientific blind spot, but a unique opportunity to...

New method for online quality control of dwell position and dwell time in brachytherapy by using high-speed camera and neural networks.

Physics in medicine and biology
To develop an online quality control (QC) system for accurate assessment of dwell position and dwell time in high-dose-rate (HDR) brachytherapy, and to investigate the potential of neural networks so as to improve the robustness and stability of the ...

SDMFFN: a novel specular detection median filtering fusion network for specular reflection removal in endoscopic images.

Biomedical physics & engineering express
. Endoscopic imaging is vital in Minimally Invasive Surgery (MIS), but its utility is often compromised by specular reflections that obscure important details and hinder diagnostic accuracy. Existing methods to address these reflections face limitati...

High-level locomotion intent estimation from electromyography and body posture.

Journal of neural engineering
Once we learn a reliable gait, we no longer have to consciously contract individual muscles to walk, or think about the fine-grained low-level control of our joints. Instead, we mainly make decisions on where we want to end up, at what pace and throu...