AIMC Topic: Artificial Intelligence

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An artificial intelligence-assisted, kilometer-scale wireless and wearable biochemical sensing platform for monitoring of key biomarkers in urine.

Biosensors & bioelectronics
Wearable biochemical sensors enabling non-invasive monitoring of biomarkers in bodily fluids play a pivotal role in advancing personalized healthcare. The state-of-the-art wireless and wearable biochemical sensors still suffer from large form factors...

Artificial intelligence: a new era in prostate cancer diagnosis and treatment.

International journal of pharmaceutics
Prostate cancer (PCa) represents one of the most prevalent cancers among men, with substantial challenges in timely and accurate diagnosis and subsequent treatment. Traditional diagnosis and treatment methods for PCa, such as prostate-specific antige...

Artificial intelligence assisted automated short answer question scoring tool shows high correlation with human examiner markings.

BMC medical education
BACKGROUND: Optimizing the skill of answering Short answer questions (SAQ) in medical undergraduates with personalized feedback is challenging. With the increasing number of students and staff shortages this task is becoming practically difficult. He...

Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients.

RMD open
OBJECTIVE: To evaluate the agreement and repeatability of an automated robotic ultrasound system (ARTHUR V.2.0) combined with an AI model (DIANA V.2.0) in assessing synovial hypertrophy (SH) and Doppler activity in rheumatoid arthritis (RA) patients,...

Predicting patient deterioration with physiological data using AI: systematic review protocol.

BMJ health & care informatics
INTRODUCTION: The second iteration of the National Early Warning Score has been adopted widely within the UK and internationally. It uses routinely collected physiological measurements to standardise the assessment and response to acute illness. Its ...

Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study.

Journal of medical Internet research
BACKGROUND: Females with irregular or unpredictable cycles, including those with polycystic ovary syndrome (PCOS), have limited options for validated at-home ovulation prediction. The majority of over-the-counter ovulation prediction kits use urinary...

Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.

Journal of medical Internet research
Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiological data sources to create dynamic, patient-specific simulations. By leveraging data from genomics, proteomics, imaging, sociodemographics, and real-...

Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.

Journal of robotic surgery
Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeutic outcomes. This systematic review evaluates the evolution, current clinical applications, and future prospects of robotic systems in ophthalmology. ...

Automated classification of skeletal malocclusion in German orthodontic patients.

Clinical oral investigations
OBJECTIVES: Precisely diagnosing skeletal class is mandatory for correct orthodontic treatment. Artificial intelligence (AI) could increase efficiency during diagnostics and contribute to automated workflows. So far, no AI-driven process can differen...

AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.

Biomedical physics & engineering express
. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and precise diagnosis for optimal therapeutic intervention. While computed tomography (CT) imaging remains the definitive diagnostic modality, manual interp...