[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …
need for body marker placement during motion tracking and analysis of human movement …
Recent advances of artificial intelligence in healthcare: A systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …
processes often remain opaque, earning them the characterization of “black-box” models …
Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions
Neurodevelopmental disorders (NDD) are impairments of the growth and development of
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
A pose-based feature fusion and classification framework for the early prediction of cerebral palsy in infants
The early diagnosis of cerebral palsy is an area which has recently seen significant multi-
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
[HTML][HTML] Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review
Cerebral palsy (CP) is a group of disorders that alters patients' muscle coordination, posture,
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …
Explainability of deep learning models in medical video analysis: a survey
Deep learning methods have proven to be effective for multiple diagnostic tasks in medicine
and have been performing significantly better in comparison to other traditional machine …
and have been performing significantly better in comparison to other traditional machine …
Markerless human pose estimation for biomedical applications: a survey
Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …
and assessment in many fields of application. HPE is often preferred to traditional marker …
A systematic review of portable technologies for the early assessment of motor development in infants
Early screening and evaluation of infant motor development are crucial for detecting motor
deficits and enabling timely interventions. Traditional clinical assessments are often …
deficits and enabling timely interventions. Traditional clinical assessments are often …