Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Visual cortical prostheses offer a promising path to sight restoration, but current systems elicit crude, variable percepts and rely on manual electrode-by-electrode calibration that does not scale. These limitations reflect a deeper challenge: electrical microstimulation evokes nonlinear, state-dependent population responses in the human visual cortex, complicating the link between stimulation an...
This article presents the development of a wearable exoskeleton robotic device designed for the motor recovery of the upper limbs following stroke, in which the possibility of integrating soft actuators was explored. The device is designed for multi-joint assistance, with the ability to help patients in recovery training with sequential movements of the elbow, wrist, and fingers in flexion/extensi...
BACKGROUND: Clinical course information, including disease onset, episode recurrence, and hospitalization history, is essential for psychiatric care a...
BACKGROUND: Although intravascular lithotripsy (IVL) has proven effective in facilitating luminal expansion through calcification modification, its ef...
This study explores the enhancement of device performance by designing a new led-free architecture that employs a dual-absorber configuration. The dev...
OBJECTIVE: To evaluate the diagnostic performance of FDA/CE-cleared AI systems for mammography screening and assess their roles across clinical workfl...
BACKGROUND: Schistocytes are critical morphological markers for thrombotic microangiopathy (TMA) diagnosis. Manual identification is hampered by incon...
Central venous pressure (CVP) is a key indicator of right ventricular preload, but measurement with a central venous catheter (CVC) is invasive, time-...
BACKGROUND: Methanol poisoning poses significant challenges due to its rapid progression and high mortality rate, necessitating timely and accurate IC...
BACKGROUND: Preoperative templating in total hip arthroplasty (THA) optimizes implant sizing and positioning accuracy. Standard practice relies on two...
INTRODUCTION: Introduction: Infectious lung diseases, including pneumonia, tuberculosis (TB), COVID-19, influenza, and emerging fungal infections, are...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
Emerging and re-emerging infectious diseases ranging from the 1918 H1N1 influenza pandemic to the recent SARS-CoV-2 and monkeypox virus outbreaks cont...
BACKGROUND: Automated phlebotomy has the potential to improve patient outcomes and address phlebotomist workforce challenges. The Autonomous Blood Dra...
Automated electrographic seizure detection software often rely on the high channel counts of traditional electroencephalography (EEG) recording system...
In the era of big data and artificial intelligence, the demand for computing capacity is growing exponentially, driving the need for transformative co...
BACKGROUND: Physiologic atrial pacing at the Bachmann's bundle region may improve biatrial synchrony, but accurate implantation of atrial leadless pac...
Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US c...
Extracting multiple adverse drug reaction (ADR) terms from unstructured narratives remains challenging, particularly under severe label imbalance that...
OBJECTIVE: Successful dental implant placement relies on the proper integration of bone graft material into an area of deficient native bone. Traditio...