ARTIFICIAL INTELLIGENCE IN MELANOMA DIAGNOSIS: THREE SCENARIOS, SHIFTS IN COMPETENCIES, NEED FOR REGULATION, AND RECONCILING DISSENT BETWEEN HUMANS AND AI

Artificial intelligence in melanoma diagnosis: Three scenarios, shifts in competencies, need for regulation, and reconciling dissent between humans and AI

Tools based on machine learning (so-called DRY BODY OIL artificial intelligence, AI) are increasingly being developed to diagnose malignant melanoma in dermatology.This contribution discusses (1) three scenarios for the use of AI in different medical settings, (2) shifts in competencies from dermatologists to non-specialists and empowered patients,

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Phylogenetic analysis of apicomplexan parasites infecting commercially valuable species from the North-East Atlantic reveals high levels of diversity and insights into the evolution of the group

Abstract Background The Apicomplexa from aquatic environments are understudied relative to their terrestrial counterparts, and the seminal work assessing the phylogenetic relations of fish-infecting lineages is mostly based on freshwater hosts.The taxonomic uncertainty of some apicomplexan groups, such as the coccidia, is high and many genera were

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70th Anniversary of the First Synthesis of Adamantane

As part of the celebration of the International Year of Chemistry - 2011, the 70th anniversary of the first adamantane synthesis was marked in Zagreb.This article addresses the retrospect of the synthesis of adamantane by Rocking Chair Prelog, as well as presents a review of the research in adamantane chemistry in Zagreb from 1971 to the present da

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