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Casey Albert Wood and The fundus oculi of birds (1917).

• Authors : Montgomerie, Robert¹ (AUTHOR)

• Source: Archives of Natural History. Oct2022, Vol. 49 Issue 2, p347-363. 17p.

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Predicting myopia risk using a machine learning model based on fundus imageomics.

• Authors : Zhang X; Handan Eye Hospital (The Third Hospital of Handan), Handan, Hebei, China.; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute, School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, 300384, China.

Subjects: Machine Learning* ; Myopia*/Myopia*/Myopia*/diagnosis ; Myopia*/Myopia*/Myopia*/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2025 Dec 12; Vol. 15 (1), pp. 43729. Date of Electronic Publication: 2025 Dec 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Acquire continuous and precise score for fundus image quality assessment: FTHNet and FQS dataset.

• Authors : Gong Z; Tsinghua University, Tsinghua Shenzhen International Graduate School, Shenzhen, China.; Deng Z

Subjects: Fundus Oculi* ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Retina*/Retina*/Retina*/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2025 Nov 18; Vol. 15 (1), pp. 40524. Date of Electronic Publication: 2025 Nov 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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DB-SegNet: optimized framework for glaucoma detection and optic structure segmentation from retinal fundus images.

• Authors : Prakash J; Department of Computer Science and Engineering, PSG College of Technology, Coimbatore, Tamilnadu, India. .; Vinoth Kumar B

Subjects: Glaucoma*/Glaucoma*/Glaucoma*/diagnosis ; Glaucoma*/Glaucoma*/Glaucoma*/diagnostic imaging ; Fundus Oculi*

• Source: Scientific reports [Sci Rep] 2025 Nov 13; Vol. 15 (1), pp. 39843. Date of Electronic Publication: 2025 Nov 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Leveraging fundus images for on device eye disease diagnosis with AI powered lightweight software hardware framework.

• Authors : Thaware P; Shri Ramdeobaba College of Engineering & Management, Nagpur, India.; Khurshid AA

Subjects: Fundus Oculi* ; Eye Diseases*/Eye Diseases*/Eye Diseases*/diagnosis ; Eye Diseases*/Eye Diseases*/Eye Diseases*/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2025 Nov 04; Vol. 15 (1), pp. 38536. Date of Electronic Publication: 2025 Nov 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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AV-EffiCapsNet Based Deep Neural Network Model for Automated Detection of Hypertensive Retinopathy in Fundus Image.

• Authors : R., Sowmiya¹ ; R., Kalpana¹

Subjects: *Hypertension; *Fundus oculi; *Medical screening

• Source: Baghdad Science Journal. 2025, Vol. 22 Issue 9, p3165-3176. 12p.

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Prediction of advanced chronic kidney disease through retinal fundus images by deep learning.

• Authors : Hsu CF; Artificial Intelligence and Robotics Innovation Center, China Medical University Hospital, Taichung, Taiwan.; Yu TM

Subjects: Deep Learning* ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/diagnosis ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/diagnostic imaging

• Source: Scientific reports [Sci Rep] 2025 Oct 24; Vol. 15 (1), pp. 37318. Date of Electronic Publication: 2025 Oct 24.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms.

• Authors : Gandor M; Department of Computer Science, Faculty of Computer Science and Mathematics, Cracow University of Technology, Krakow, Poland.; Pałka F

Subjects: Diabetic Retinopathy*/Diabetic Retinopathy*/Diabetic Retinopathy*/diagnosis ; Diabetic Retinopathy*/Diabetic Retinopathy*/Diabetic Retinopathy*/diagnostic imaging ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2025 Oct 03; Vol. 15 (1), pp. 34486. Date of Electronic Publication: 2025 Oct 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Pixel-Level Segmentation of Retinal Breaks in Ultra-Widefield Fundus Images with a PraNet-Based Machine Learning Model.

• Authors : Takayama T; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi 329-0498, Japan.; Uto T

Subjects: Machine Learning* ; Fundus Oculi* ; Retina*/Retina*/Retina*/diagnostic imaging

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 19; Vol. 25 (18). Date of Electronic Publication: 2025 Sep 19.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Comprehensive Review of Open-Source Fundus Image Databases for Diabetic Retinopathy Diagnosis.

• Authors : Conquer V; IMT Mines Ales, 30100 Alès, France.; Lambolais T

Subjects: Diabetic Retinopathy*/Diabetic Retinopathy*/Diabetic Retinopathy*/diagnostic imaging ; Diabetic Retinopathy*/Diabetic Retinopathy*/Diabetic Retinopathy*/diagnosis ; Fundus Oculi*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 11; Vol. 25 (18). Date of Electronic Publication: 2025 Sep 11.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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