Surgical data analysis is crucial for developing and integrating context-aware systems (CAS) in advanced operating rooms. Automatic detection of surgical tools an essential component CAS, as it enables the recognition activities understanding contextual status procedure. Acquiring challenging due to ethical constraints complexity establishing recording infrastructures. For machine learning tasks, there also large burden labelling. Although a relatively dataset, namely Cholec80, publicly...

PURPOSE To elucidate the effect of a doubled carboplatin dose-intensity in epithelial ovarian cancer combination with fixed dose cyclophosphamide. PATIENTS AND METHODS A total 222 patients stages II to IV were included study. Following surgery, randomly assigned receive at an area under concentration-versus-time curve (AUC) 4 (AUC4) or AUC 8 (AUC8) and cyclophosphamide 500 mg/m2 given every weeks for six courses. The was calculated according Calvert's formula. In 123 patients, also measured...

Lung EIT is a functional imaging method that utilizes electrical currents to reconstruct images of conductivity changes inside the thorax. This technique radiation free and applicable at bedside, but lacks spatial resolution compared morphological methods such as X-ray computed tomography (CT). In this article we describe an approach for image reconstruction using morphologic information obtained from other structural modalities. leads recon- structed lung ventilation can easily be...

Healthcare and intensive care unit (ICU) medicine in particular, are facing a devastating tsunami of rising demand multiplied by increasing chronic disease aging demographics, which is unmatched society's ability to pay. Digital technologies automation have brought significant productivity gains many industries, manufacturing but not yet medicine. In manufacturing, digital twins, model-based optimisation systems equipment, rapidly growing means further enhancing quality. This concept...

Digital health apps have become a staple in daily life, promoting awareness and providing motivation for healthier lifestyle. With an already overwhelmed healthcare system, digital therapies offer relief to both patient physician alike. One such planned therapy application is the incorporation of emotion recognition model as tool therapeutic interventions people with autism spectrum disorder (ASD). Diagnoses ASD increased relatively rapidly recent years. To ensure effective expressions,...

To examine the influence of positive end-expiratory pressure (PEEP) settings on lung mechanics and oxygenation in elderly patients undergoing thoracoscopic surgery. One hundred aged >65 years were randomly allocated into either PEEP5 or electrical impedance tomography (EIT) group (PEEPEIT). Each underwent volume-controlled ventilation (tidal volume 6 mL/kg predicted body weight) with PEEP fixed at 5 cmH2O set an individualized EIT setting. The primary endpoint was ratio arterial oxygen...

Abstract Background Positive end-expiratory pressure (PEEP) at minimum respiratory elastance during mechanical ventilation (MV) in patients with acute distress syndrome (ARDS) may improve patient care and outcome. The Clinical utilisation of (CURE) trial is a two-arm, randomised controlled (RCT) investigating the performance PEEP selected an objective, model-based minimal system ARDS. Methods design CURE RCT compares two groups requiring invasive MV partial arterial oxygen/fraction inspired...

Health apps have increased in popularity as people increasingly follow the advice these provide to enhance physical and mental well-being. One key aspect of improving neurosensory health is identifying expressing emotions. Emotional intelligence crucial for maintaining enhancing social interactions. In this context, a preliminary closed-loop feedback system has been developed help project specific emotions by altering their facial expressions. This part research intervention aimed at...

Measurement of accurate tidal volumes based on respiration-induced surface movements the upper body would be valuable in clinical and sports monitoring applications, but most current methods lack precision, ease use, or cost effectiveness required for wide-scale uptake. In this paper, theoretical ability different sensors, such as inertial measurement units, strain gauges, circumference devices to determine were investigated, scrutinised evaluated. Sixteen subjects performed breathing...

Neural networks are increasingly able to outperform traditional machine learning and filtering approaches in classification tasks. However, with the rise their popularity, many unknowns still exist when it comes internal processes of terms how they make right decisions for prediction. As a result, this work, different attention modules integrated into convolutional neural network coupled an attention-guided strategy were examined facial emotion recognition performance. A custom block, AGFER,...

Image-based 3D reconstruction enables robot-assisted interventions and image-guided navigation, which are emerging technologies in laparoscopy. When a robotic arm guides laparoscope for image acquisition, hand–eye calibration is required to know the transformation between camera robot flange. The procedure complex must be conducted after each intervention (when dismounted cleaning). In field, surgeons their assistants cannot expected do so. Thus, our approach robot-based multi-view without...

The measurement of tidal volumes via respiratory-induced surface movements the upper body has been an objective in medical diagnostics for decades, but a real breakthrough not yet achieved. improvement technology through new, improved sensor systems and use artificial intelligence have given this field research new dynamic recent years opened up possibilities. Based on from motion capture system, respiration-induced motions 16 test subjects were examined, specific parameters calculated....

Artificial intelligence (AI) has shown its potential to advance applications in various medical fields. One such area involves developing integrated AI-based systems assist laparoscopic surgery. Surgical tool detection and phase recognition are key components develop systems, therefore, they have been extensively studied recent years. Despite significant advancements this field, previous image-based methods still face many challenges that limit their performance due complex surgical scenes...

The integration of Context-Aware Systems (CASs) in Future Operating Rooms (FORs) aims to enhance surgical workflows and outcomes through real-time data analysis. CASs require accurate classification tools, enabling the understanding actions. This study proposes a novel deep learning approach for tool based on combining convolutional neural networks (CNNs), Feature Fusion Modules (FFMs), Squeeze-and-Excitation (SE) networks, Bidirectional long-short term memory (BiLSTM) capture both spatial...

Adapting intelligent context-aware systems (CAS) to future operating rooms (OR) aims improve situational awareness and provide surgical decision support medical teams. CAS analyzes data streams from available devices during surgery communicates real-time knowledge clinicians. Indeed, recent advances in computer vision machine learning, particularly deep paved the way for extensive research develop CAS. In this work, a learning approach analyzing laparoscopic videos phase recognition, tool...

Emotional intelligence strives to bridge the gap between human and machine interactions. The application of such systems varies is becoming more prominent as healthcare services seek provide efficient care by utilizing smart digital health apps. One in incorporation emotion recognition a tool for therapeutic interventions. To this end, system designed collect analyze physiological signal data, electrodermal activity (EDA) electrocardiogram (ECG), from wearable devices. data are collected...

Abstract Background Mechanical ventilation (MV) is the primary form of support for acute respiratory distress syndrome (ARDS) patients. However, intra- and inter- patient-variability reduce efficacy general protocols. Model-based approaches to guide MV can be patient-specific. A physiological relevant minimal model its patient-specific performance are tested see if it meets this objective above. Methods Healthy anesthetized piglets weighing 24.0 kg [IQR: 21.0-29.6] underwent a step-wise PEEP...

Electrical impedance tomography (EIT) reconstructs the conductivity distribution of a domain using electrical data on its boundary. This is an ill-posed inverse problem usually solved finite element mesh. For this article, special regularization method incorporating structural information targeted proposed and evaluated. Structural was obtained either from computed images or preliminary EIT reconstructions by modified k-means clustering. The integrates into reconstruction as soft constraint...

The Timed Up and Go (TUG) is a clinical test used widely to measure balance mobility, e.g. in Parkinson's disease (PD). includes sequence of functional activities, namely: sit-to-stand, 3-meters walk, 180° turn, walk back, another turn sit on the chair. Meanwhile stopwatch score by measuring time which patients with PD need perform test. Here, work presents an instrumented TUG using wearable inertial sensor unit attached lower back person. approach automate process assessment compared manual...

This manuscript presents the concerns around increasingly common problem of not having readily available or useful "gold standard" measurements. issue is particularly important in critical care where many measurements used decision making are surrogates what we would truly wish to use. However, question broad, and applicable other areas. In particular, a gold standard measurement often exists, but clinically (or ethically some cases) feasible. The how does one even begin develop new if has...