AIMC Topic: Humans

Clear Filters Showing 36451 to 36460 of 95995 articles

A 5.3 pJ/Spike CMOS Neural Array Employing Time-Modulated Axon-Sharing and Background Mismatch Calibration Techniques.

IEEE transactions on biomedical circuits and systems
Inspired by the human brain, spiking neuron networks are promising to realize energy-efficient and low-latency neuromorphic computing. However, even state-of-the-art silicon neurons are orders of magnitude worse than biological neurons in terms of ar...

The Role of Robotics in Abdominal Wall Reconstruction.

The Surgical clinics of North America
Robotic abdominal wall reconstruction is becoming an accepted technique to approach complex hernias in a minimally invasive fashion. There remain a deficit of high-quality data to suggest significant clinical benefit but current randomized trials are...

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach.

European radiology
OBJECTIVE: Breast arterial calcifications (BAC) are a sex-specific cardiovascular disease biomarker that might improve cardiovascular risk stratification in women. We implemented a deep convolutional neural network for automatic BAC detection and qua...

Machine-learning predictive model of pregnancy-induced hypertension in the first trimester.

Hypertension research : official journal of the Japanese Society of Hypertension
In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hypertension (PIH) is important for both identifying high-risk women and adopting early intervention. In this study, we used four machine-learning models (...

A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images.

Artificial intelligence in medicine
Evolutionary algorithms have been successfully employed to find the best structure for many learning algorithms including neural networks. Due to their flexibility and promising results, Convolutional Neural Networks (CNNs) have found their applicati...

Ethical considerations in child-robot interactions.

Neuroscience and biobehavioral reviews
Social robots hold promise in augmenting education, rehabilitative care, and leisure activities for children. Despite findings suggesting various benefits of social robot use in schools, clinics, and homes, stakeholders have voiced concerns about the...

ChatGPT in Medical Education: a Paradigm Shift or a Dangerous Tool?

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry

Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis.

Multiple sclerosis and related disorders
Background Annualized Relapse Rate (ARR) is one of the most important indicators of disease progression in patients with Multiple Sclerosis (MS). However, imaging markers that can effectively predict ARR are currently unavailable. In this study, we d...

Robot-assisted low anterior resection for a rectal cancer patient with ileal conduit: A case report.

Asian journal of endoscopic surgery
Surgery for rectal cancer patients with an ileal conduit after total cystectomy is difficult because adhesions in the pelvis and around the ileal conduit are expected. In the present case, we performed robot-assisted low anterior resection of the rec...