Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin–eosin images

Tagami, Mizuki; Nishio, Mizuho; Yoshikawa, Atsuko; Misawa, Norihiko; Sakai, Atsushi; Haruna, Yusuke; Tomita, Mami; Azumi, Atsushi; Honda, Shigeru

doi:10.1007/s00417-024-06501-1

Graefes Arch Clin Exp Ophthalmol

2024

DOI: 10.1007/s00417-024-06501-1

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Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin–eosin images

Mizuki Tagami,

Mizuho Nishio,

Atsuko Yoshikawa

et al.

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Automating Athletic Excellence Through Intelligent Process Automation and Sports Analytics

Lingappan,

Sethu,

Parasuraman

et al. 2024

Advances in Computational Intelligence and Robotics

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This study examines the profound influence of artificial intelligence (AI) on the sports industry, including its effects on games, training methods, fan involvement, and player well-being. This text explores how artificial intelligence (AI) is transforming several aspects of the sports industry by analysing current trends and future predictions. AI-powered intelligent referees are being developed to enhance the fairness and accuracy of refereeing, while personalised fan experiences are being created to increase spectator engagement. Furthermore, the implementation of AI-powered health aid and virtual reality training environments is expected to enhance player performance and raise safety standards. The integration of technology and athleticism in sports has the potential to revolutionise the field of AI, creating a mutually beneficial connection between innovation and human accomplishment. This will ultimately improve the whole sports experience for everyone involved.

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Automating Athletic Excellence Through Intelligent Process Automation and Sports Analytics

Lingappan,

Sethu,

Parasuraman

et al. 2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

show abstract

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Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin–eosin images

Cited by 1 publication

References 25 publications

Automating Athletic Excellence Through Intelligent Process Automation and Sports Analytics

Automating Athletic Excellence Through Intelligent Process Automation and Sports Analytics

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