Buscar recursos académicos

Abstract BackgroundMultimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wo...

Artificial intelligence (AI) has emerged as a transformative force in modern ophthalmology, enabling rapid advances in disease detection, clinical decision support, workflow optimization, and tele-ophthalmology. Ophthalm...

The dynamic range limitation is intrinsic to conventional RGB cameras, which reduces global contrast and causes the loss of high-frequency details such as textures and edges in complex, dynamic traffic environments (e.g....

Aafreen Aafreen,1 Abdur Raheem Khan,2 Ausaf Ahmad,3 Yousef M Alshehre,1 Mohammed M Alshehri,4 Mohammad Abu Shaphe,4 Monira I Aldhahi5 1Department of Health Rehabilitation Sciences, Faculty of Applied Medical Sciences, Un...

Chin-E Liu,1 Cheng-Wei Lu1,2 1Department of Anesthesiology, Far Eastern Memorial Hospital, New Taipei, 220, Taiwan; 2Department of Mechanical Engineering, Yuan Ze University, Taoyuan, 320, TaiwanCorrespondence: Cheng-Wei...

Abstract Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other technologies and exhibit the characteristics of bionics, robotics, information and control science, medicine, and other interdis...

ObjectiveChronic pain, a major global public health burden, is primarily driven by altered central pain processing, which conventional treatments rarely target directly. This systematic review and meta-analysis synthesiz...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Background: The rapid expansion of digital platforms has given rise to new linguistic practices, including algospeak, a creative strategy used by users to circumvent algorithmic moderation. Purpose: This study examine...

Abstract Research in power system is persistently hampered by the scarcity of high‐fidelity, public grid data due to security and privacy constraints. Existing unimodal synthesis methods fail to harmonize physical laws...

The analysis and modeling of educational data are of great significance to the evaluation of teaching quality and personalized learning guidance. However, the acquisition of academic data is often limited by the costs of...

Abstract This study presents an automated systematic review of augmented reality research within educational neuroscience, utilizing PubMedBERT, a domain-specific natural language processing model, to extract and analyze...

This review examines the application of brain–computer interface (BCI) technology for motor rehabilitation in patients with severe stroke—a population often excluded from conventional therapies due to minimal movemen...

Chemotherapy-induced gastrointestinal dysfunction (CIGD) is a multifactorial clinical syndrome that substantially limits treatment tolerance, continuity, and quality of life in patients with cancer. Although targeted the...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

This paper presents a study investigating the use of digital technology - tablets and mobile phones by six pre-school children in Požega, Croatia and the way this technology facilitated the English language learning pro...

BackgroundAutistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regul...

The development goal of artificial intelligence is to enable machines to think and act like humans, solving complex problems, and more importantly, interacting effectively in a complex, dynamic, and uncertain physical wo...

Fast and accurate identification of skin lesions is important for the outcome of patients. The evaluation of lesions is subjective, and poor quality images may limit accuracy. Deep learning models can be an alternative; ...

Abstract Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within the music industry. However, the ...

This Cochrane‐Campbell systematic review examines the effects of group‐based parenting programmes on parents' psychosocial health. The review summarise findings from 48 studies conducted in various countries and sett...

Abstract This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

The conflict interference effect, exemplified by the Stroop effect, serves as a key indicator for studying conflict processing and cognitive control and is typically categorized into two conflict components within confli...

Glioblastoma (GBM) is the most common and aggressive type of central nervous system cancer, characterized by high rates of recurrence and mortality. As the highest-grade glioma, patient prognosis remains poor despite mul...