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Difference between Artificial Intelligence, Machine Learning, and Deep Learning.

Difference between Artificial Intelligence, Machine Learning, and Deep Learning.

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Significance Chronic wounds are associated with significant morbidity, marked loss of quality of life, and considerable economic burden. Evidence-based risk prediction to guide improved wound prevention and treatment is limited by the complexity in their etiology, clinical underreporting, and a lack of studies using large high-quality datasets. Re...

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... of making intelligent machines, especially intelligent computer programs that exhibit characteristics associated with intelligence in human behavior including among other faculties of reasoning, learning, goal seeking, problem solving, and adaptability.'' 28 ML and deep learning are the subsets of AI, and deep learning is a subset of ML ( Fig. 1). To paraphrase Arthur Samuel, who coined the term, ML is a method for developing the models by using mathematical methods to make classifications and predictions, and discover patterns without being explicitly programmed. 29 Deep learning is the subcategory of ML that uses mul- layers of artificial neural networks to discover ...

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Citations

... The question that arises is: Is it necessary to apply manual approaches? We know that there is a plethora of manual and instrumental, invasive, and non-invasive treatments available, but none have proven to be the standard preferred choice [58][59][60]. The clinician's goal is to facilitate the recovery of the psychophysical autonomy of the person who suffers from pathological scars, in concert with the patient's awareness [61]. ...
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The skin is a complex organ, a system that influences and is influenced by the body system, with different skin layers always mechano-biologically active. In the presence of a lesion that damages the dermis, the skin undergoes sensory, morphological, and functional alterations. The subsequent adaptation is the formation of scar tissue, following distinct and overlapping biological phases. For reasons not yet fully elucidated, some healing processes lead to pathological scars, from which symptoms such as pain, itching, and functional limitations are derived. Currently, there is no gold standard treatment that fully meets the needs of different scars and can eliminate any symptoms that the patient suffers. One such treatment is manual medicine, which involves direct manual approaches to the site of injury. Reviewing the phases that allow the skin to be remodeled following an injury, this article reflects on the usefulness of resorting to these procedures, highlighting erroneous concepts on which the manual approach is based, compared to what the current literature highlights the cicatricial processes. Considering pathological scar adaptations, it would be better to follow a gentle manual approach.
... Chronic wounds include a wide variety of aetiologies and intricate relationships between risk factors. Therefore, there is a critical need for trustworthy, proven risk prediction methods that can more effectively target each patient's particular set of predisposing factors, which affect each patient's likelihood of disease development and treatment response once chronic wounds have formed [7]. One of them is burns, an injury that can cause wounds, infection, ulcers, and trauma; however, those caused by chronic illnesses such as diabetes, vascular diseases, and cancers can lead to delay and low wound-healing progress [8]. ...
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