AIMC Topic: Artificial Intelligence

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Adoption of Digital Pathology in Developing Countries: From Benefits to Challenges.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Digital pathology and the use of artificial intelligence constitute undisputedly the future of modern pathology. The outcomes and benefits of the whole slide imaging are beyond the scope of traditional microscopy, which the pathologists were using fo...

The diagnostic and prognostic value of artificial intelligence and artificial neural networks in spinal surgery : a narrative review.

The bone & joint journal
In recent years, machine learning (ML) and artificial neural networks (ANNs), a particular subset of ML, have been adopted by various areas of healthcare. A number of diagnostic and prognostic algorithms have been designed and implemented across a ra...

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.

The Lancet. Digital health
Artificial intelligence (AI) promises to change health care, with some studies showing proof of concept of a provider-level performance in various medical specialties. However, there are many barriers to implementing AI, including patient acceptance ...

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms.

The Lancet. Digital health
BACKGROUND: Artificial intelligence (AI) algorithms can be trained to recognise tuberculosis-related abnormalities on chest radiographs. Various AI algorithms are available commercially, yet there is little impartial evidence on how their performance...

Artificial Intelligence in Medical Education.

Academic medicine : journal of the Association of American Medical Colleges

Artificial Intelligence in Medical Education.

Academic medicine : journal of the Association of American Medical Colleges

Artificial intelligence and ophthalmic surgery.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Artificial intelligence and deep learning have become important tools in extracting data from ophthalmic surgery to evaluate, teach, and aid the surgeon in all phases of surgical management. The purpose of this review is to highlig...