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10.26444/aaem/195109 http://scihub22266oqcxt.onion/10.26444/aaem/195109 40586515!ä!40586515 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\40586515.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Ann+Agric+Environ+Med 2025 ; 32 (2): 320-322 Nephropedia Template TP {{tp|p=40586515|t=2025. Is Artificial Intelligence an accurate tool for improving access to ophthalmological services in rural areas? A narrative review |pdf=|usr=}}{{40586515}} gab.com Text Is Artificial Intelligence an accurate tool for improving access to ophthalmological services in rural areas A narrative review JO: Ann Agric Environ Med http://www.kidney.de/pget.php?&tw=1&pmid=40586515 #FOAvip INTRODUCTION: The integration of artificial intelligence (AI) in ophthalmology, specifically through the use of Optical Coherence Tomography (OCT) images, has marked a significant advancement in the detection and management of ocular diseases. The article compares the detection of eye conditions by health professionals using Optical Coherence Tomography (OCT) with AI abilities. REVIEW METHODS: Online databases were searched for articles discussing the effectiveness of AI in OCT analyses and assessment of the accuracy and agreement of AI algorithms with human experts. Key words included 'OCT', 'AI', 'comparison' and 'effectiveness''. RESULTS: AI algorithms have demonstrated the capability to automatically segment retinal layers, detect and quantify pathological changes, and predict disease progression. The application of AI helps address the challenge of artifacts in OCT images, enhancing the accuracy of tissue structure segmentation and improving diagnostic precision. CONCLUSIONS: This article explores the comparative effectiveness of AI and human experts in diagnosing ocular conditions using OCT, highlighting AI's potential to complement human expertise and improve patient outcomes. Despite the promising results, variability in AI performance across different studies underscores the need for more robust and standardized AI models, along with high-quality, diverse datasets to ensure consistent and generalizable results. Twit Text FOAVip Is Artificial Intelligence an accurate tool for improving access to ophthalmological services in rural areas A narrative review ????Ann Agric Environ Med http://www.kidney.de/pget.php?&tw=1&pmid=40586515 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=40586515 #FOAvip English Wikipedia <ref>{{Cite pmid|40586515}}</ref> Is Artificial Intelligence an accurate tool for improving access to ophthalmological services in rural areas? A narrative review #MMPMID40586515 Czesak K; Galuszka Z; Adamska O; Kaminski M; Pierzak A; Kaminska A Ann Agric Environ Med 2025[Jun]; 32 (2): 320-322 PMID40586515show ga INTRODUCTION: The integration of artificial intelligence (AI) in ophthalmology, specifically through the use of Optical Coherence Tomography (OCT) images, has marked a significant advancement in the detection and management of ocular diseases. The article compares the detection of eye conditions by health professionals using Optical Coherence Tomography (OCT) with AI abilities. REVIEW METHODS: Online databases were searched for articles discussing the effectiveness of AI in OCT analyses and assessment of the accuracy and agreement of AI algorithms with human experts. Key words included 'OCT', 'AI', 'comparison' and 'effectiveness''. RESULTS: AI algorithms have demonstrated the capability to automatically segment retinal layers, detect and quantify pathological changes, and predict disease progression. The application of AI helps address the challenge of artifacts in OCT images, enhancing the accuracy of tissue structure segmentation and improving diagnostic precision. CONCLUSIONS: This article explores the comparative effectiveness of AI and human experts in diagnosing ocular conditions using OCT, highlighting AI's potential to complement human expertise and improve patient outcomes. Despite the promising results, variability in AI performance across different studies underscores the need for more robust and standardized AI models, along with high-quality, diverse datasets to ensure consistent and generalizable results. |*Artificial Intelligence[MESH] |*Eye Diseases/diagnosis/diagnostic imaging[MESH] |*Ophthalmology/methods/instrumentation[MESH] |*Tomography, Optical Coherence/methods[MESH] |Humans[MESH]Is Artificial Intelligence an accurate tool for improving access to o(epmc).pdf DeepDyve Pubget Overpricing