AIMC Topic: Artificial Intelligence

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Translational Retinal Imaging.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in all its multimodal incarnations. The purpose of this article is to present a selection of very different retinal imaging techniques that are truly trans...

On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.

Archivos de cardiologia de Mexico
Science and technology are modifying medicine at a dizzying pace. Although access in our country to the benefits of innovations in the area of devices, data storage and artificial intelligence is still very restricted, the advance of digital medicine...

Rise of the Robots: Is Artificial Intelligence a Friend or Foe to Nursing Practice?

Critical care nursing quarterly
Much like other aspects of health care, nursing has become increasingly saturated with technology over the past several decades. Existing technology has advanced nursing in many ways and contributed to patient safety but at the cost of decreasing nur...

An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem.

Current medical imaging
BACKGROUND: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to m...

Computational Intelligence Techniques for Assessing Anthropometric Indices Changes in Female Athletes.

Current medical imaging
BACKGROUND: Physical characteristics including body size and configuration, are considered as one of the key influences on the optimum performance in athletes. Despite several analyzing methods for modeling the slimming estimation in terms of reducti...

Updating Diagnoses for Speed and Accuracy: Using AI, Cameras, Assays, and More.

IEEE pulse
When it comes to their health, people want answers right now. But clinicians cannot always make snap judgments about ailments or injuries. One way to help both general practitioners and patients is to introduce technologies that deliver quick and acc...

Artificial Intelligence for Cataract Detection and Management.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
The rising popularity of artificial intelligence (AI) in ophthalmology is fuelled by the ever-increasing clinical "big data" that can be used for algorithm development. Cataract is one of the leading causes of visual impairment worldwide. However, co...

Artificial Intelligence in Ophthalmology: Evolutions in Asia.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Artificial intelligence (AI) has been studied in ophthalmology since availability of digital information in ophthalmic care. The significant turning point was availability of commercial digital color fundus photography in the late 1990s, which caused...

Detection of Disease-Specific Parent Cells Via Distinct Population of Nano-Vesicles by Machine Learning.

Current pharmaceutical design
BACKGROUND: The diagnosis and prognosis of pathological conditions, such as age-related macular degeneration (AMD) and cancer still need improvement. AMD is primarily caused due to the dysfunction of retinal pigment epithelium (RPE), whereas endothel...