AIMC Topic: Young Adult

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Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.

The British journal of ophthalmology
BACKGROUND: Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals driven by progress in retinal imaging. The National Health Service (NHS) published a 10-year strategy (NHS Long-Term Plan) to transform services to me...

Management for Ureteral Stenosis: A Comparison of Robot-Assisted Laparoscopic Ureteroureterostomy and Conventional Laparoscopic Ureteroureterostomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A
To describe and analyze our experience of robotic-assisted laparoscopic ureteroureterostomy (RALU) and conventional LU for the repair of ureteral stenosis and compare the differences of safety and efficacy between RALU and LU. Patients who underwen...

Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.

Journal of the American College of Surgeons
BACKGROUND: Accurate estimation of operative case-time duration is critical for optimizing operating room use. Current estimates are inaccurate and earlier models include data not available at the time of scheduling. Our objective was to develop stat...

Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEAR) in patients with hemiplegia after primary stroke.

Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers.

Sensors (Basel, Switzerland)
Changes of directions and cutting maneuvers, including 180-degree turns, are common locomotor actions in team sports, implying high mechanical load. While the mechanics and neurophysiology of turns have been extensively studied in laboratory conditio...

Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a number of domains, e.g., for healthcare or fitness applications. Recently, methods based on time-frequency spectra emerged to address the challenges of motion artefac...

Embodiment into a robot increases its acceptability.

Scientific reports
Recent studies have shown how embodiment induced by multisensory bodily interactions between individuals can positively change social attitudes (closeness, empathy, racial biases). Here we use a simple neuroscience-inspired procedure to beam our huma...

Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.

IEEE transactions on medical imaging
Cataract is the clouding of lens, which affects vision and it is the leading cause of blindness in the world's population. Accurate and convenient cataract detection and cataract severity evaluation will improve the situation. Automatic cataract dete...