AIMC Topic: Humans

Clear Filters Showing 33561 to 33570 of 95995 articles

Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Scientific reports
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role. Based on this responsibility ...

Advantages of enhanced recovery after surgery program in robot-assisted radical cystectomy.

Scientific reports
Radical cystectomy is a gold-standard treatment for muscle-invasive bladder cancer. We recently introduced robot-assisted radical cystectomy (RARC) with perioperative enhanced recovery after surgery (ERAS). The medical records of patients with bladde...

Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning.

Scientific reports
Deep neural networks have been increasingly proposed for automated screening and diagnosis of retinal diseases from optical coherence tomography (OCT), but often provide high-confidence predictions on out-of-distribution (OOD) cases, compromising the...

The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease.

PloS one
To evaluate the effect of the deep learning model reconstruction (DLM) method in terms of image quality and diagnostic agreement in low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT for suspected...

TumorDetNet: A unified deep learning model for brain tumor detection and classification.

PloS one
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process and helps to save the lives of a large number of people worldwide. Because they are non-invasive and spare patients from having an unpleasant biopsy, ...

Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review.

Journal of cancer survivorship : research and practice
Knowledge discovery in databases (KDD) is crucial in analyzing data to extract valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in diseases with high incidence, mortality, and costs, like cancer. ML techniqu...

Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs.

Perspectives on psychological science : a journal of the Association for Psychological Science
There is growing interest in the field of cooperative artificial intelligence (AI), that is, settings in which humans and machines cooperate. By now, more than 160 studies from various disciplines have reported on how people cooperate with machines i...

Machine Learning Differentiation of Autism Spectrum Sub-Classifications.

Journal of autism and developmental disorders
PURPOSE: Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic crite...

Real-time stress detection based on artificial intelligence for people with an intellectual disability.

Assistive technology : the official journal of RESNA
People with severe intellectual disabilities (ID) could have difficulty expressing their stress which may complicate timely responses from caregivers. The present study proposes an automatic stress detection system that can work in real-time. The sys...

Clinical Uptake of Pediatric Exoskeletons: Pilot Study Using the Consolidated Framework for Implementation Research.

American journal of physical medicine & rehabilitation
OBJECTIVE: While the design and clinical evidence base of robot-assisted gait training devices has been advancing, few studies investigate user experiences with accessing and using such devices in pediatric rehabilitation. This pilot study aims to fu...