AIMC Topic: Humans

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Auto-segmentation of the tibia and femur from knee MR images via deep learning and its application to cartilage strain and recovery.

Journal of biomechanics
The ability to efficiently and reproducibly generate subject-specific 3D models of bone and soft tissue is important to many areas of musculoskeletal research. However, methodologies requiring such models have largely been limited by lengthy manual s...

Avoiding bias in artificial intelligence.

International forum of allergy & rhinology
Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly adopted AI and machine learning for numerous applications. It is essential to understand that AI is not immune to the biases that impact our clinical an...

Utilization of robotics in pediatric surgical oncology.

Seminars in pediatric surgery
Despite increasing implementation of robotic surgery and minimally invasive techniques within adult surgical oncology and pediatric general surgery, the utilization of robotic-assisted resections for pediatric tumors has been met with controversy. Th...

Pediatric robotic surgery: An overview.

Seminars in pediatric surgery
Pediatric robotic surgery offers children a minimally invasive approach with numerous advantages over open or thoracoscopic and laparoscopic surgery. However, despite its widespread adoption for adult patients, the utilization of robotic surgery with...

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Nature medicine
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and...

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN.

Sensors (Basel, Switzerland)
Recently, the scientific community has placed great emphasis on the recognition of human activity, especially in the area of health and care for the elderly. There are already practical applications of activity recognition and unusual conditions that...

Stable Heteroclinic Channel Networks for Physical Human-Humanoid Robot Collaboration.

Sensors (Basel, Switzerland)
Human-robot collaboration is one of the most challenging fields in robotics, as robots must understand human intentions and suitably cooperate with them in the given circumstances. But although this is one of the most investigated research areas in r...

Human-Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention.

Sensors (Basel, Switzerland)
Emotions have a crucial function in the mental existence of humans. They are vital for identifying a person's behaviour and mental condition. Speech Emotion Recognition (SER) is extracting a speaker's emotional state from their speech signal. SER is ...