Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,591 to 1,600 of 6,954 articles

Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model.

Scientific reports
Gesture recognition plays a vital role in computer vision, especially for interpreting sign language and enabling human-computer interaction. Many existing methods struggle with challenges like heavy computational demands, difficulty in understanding... read more 

Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial.

Scientific reports
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide accessible alternatives to traditional methods, but their efficacy remains modest, potentially due to ... read more 

Artificial intelligence and the wellbeing of workers.

Scientific reports
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and... read more 

Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection.

Scientific reports
This study presents a novel hardware and software architecture combining capacitive sensors, quantum-inspired algorithms, and deep learning applied to the detection of Essential Tremor. At the core of this architecture are graphene-printed capacitive... read more 

Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.

Scientific reports
Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticated machine learning algorithms, a standard clinical use case for non-surgical diagnosis of endometriosis has not yet been established. In the present ... read more 

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Scientific reports
Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant challenges to recovery and long-term outcomes. ICU-acquired weakness (ICUAW) manifests as severe muscle depletion, correlating with illness severity an... read more 

Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances.

Scientific reports
A growing number of studies have compared human and AI creative performance. These studies differ in AI chatbots, human populations, creativity tasks, and creativity indicators (e.g., originality, usefulness, elaboration). They mostly neglect psychol... read more 

Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images.

Scientific reports
Analyzing microscopy images of large growing cell samples using traditional methods is a complex and time-consuming process. In this work, we have developed an attention-driven UNet-enhanced model using deep learning techniques to efficiently quantif... read more 

Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system.

Scientific reports
Laboratory automation has transformed bioanalytical research, yet smaller research laboratories face challenges in adopting such technologies due to limited resources, time, and technical expertise, while already facing complex bioanalytical methods.... read more 

Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal.

Scientific reports
Oil spills threaten marine ecosystems, demanding swift detection and response. The northern entrance of the Suez Canal, a critical maritime route, is increasingly at risk of frequent oil spill incidents. This study employs the DeepLabv3 + deep learni... read more