AIMC Topic: Humans

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Validation of Artificial Intelligence Containing Products Across the Regulated Healthcare Industries.

Therapeutic innovation & regulatory science
PURPOSE: The introduction of artificial intelligence / machine learning (AI/ML) products to the regulated fields of pharmaceutical research and development (R&D) and drug manufacture, and medical devices (MD) and in vitro diagnostics (IVD), poses new...

Use of Large Language Models and Artificial Intelligence Tools in Works Submitted to .

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial.

Gait & posture
BACKGROUND: Stroke survivors often experience balance and gait problems, which can affect their quality of life and independence in daily living activities. Robot-assisted gait training, such as Lokomat with virtual reality, has been found to be effe...

Robot-assisted tubo-tubal reanastomosis after sterilization in 10 steps.

Journal of gynecology obstetrics and human reproduction
Five to 20% of women regret having a tubal ligation. These women are generally otherwise fertile and have a better chance of pregnancy than other patients experiencing infertility, whether by in vitro fertilization or after tubal surgery. Historicall...

Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to develop an automated approach to quantify thrombus on NCCT and CTA in ...

Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis.

Journal of applied physiology (Bethesda, Md. : 1985)
Nonintrusive estimation of oxygen uptake (V̇o) is possible with wearable sensor technology and artificial intelligence. V̇o kinetics have been accurately predicted during moderate exercise using easy-to-obtain sensor inputs. However, V̇o prediction a...

Neuromorphic sensorimotor loop embodied by monolithically integrated, low-voltage, soft e-skin.

Science (New York, N.Y.)
Artificial skin that simultaneously mimics sensory feedback and mechanical properties of natural skin holds substantial promise for next-generation robotic and medical devices. However, achieving such a biomimetic system that can seamlessly integrate...

Automatic Identification of Ultrasound Images of the Tibial Nerve in Different Ankle Positions Using Deep Learning.

Sensors (Basel, Switzerland)
Peripheral nerve tension is known to be related to the pathophysiology of neuropathy; however, assessing this tension is difficult in a clinical setting. In this study, we aimed to develop a deep learning algorithm for the automatic assessment of tib...

EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma.

Genes
The most common cause of mortality and disability globally right now is cholangiocarcinoma, one of the worst forms of cancer that may affect people. When cholangiocarcinoma develops, the DNA of the bile duct cells is altered. Cholangiocarcinoma claim...

Development of Indirect Health Data Linkage on Health Product Use and Care Trajectories in France: Systematic Review.

Journal of medical Internet research
BACKGROUND: European national disparities in the integration of data linkage (ie, being able to match patient data between databases) into routine public health activities were recently highlighted. In France, the claims database covers almost the wh...