Getting Better: Learning, New Tools and Risk Management

Large degree of variations has been reported in the performance of qualified eyecare practitioners as regard optic nerve head evaluation. This chapter describes in brief recent advances such as artificial intelligence (AI) and advances in imaging and visualisation of ONH. Deep learning model of AI has been developed to discriminate optic nerve photographs from those with and without glaucoma. Adaptive optics are being incorporated to OCT imaging system to improve image resolution and quality.

[1]  April Y. Maa,et al.  Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs. , 2018, Ophthalmology.

[2]  Jost B Jonas,et al.  Clinical assessment of stereoscopic optic disc photographs for glaucoma: the European Optic Disc Assessment Trial. , 2010, Ophthalmology.

[3]  Donald C. Hood,et al.  Effectiveness of a Qualitative Approach Toward Evaluating OCT Imaging for Detecting Glaucomatous Damage , 2018, Translational vision science & technology.

[4]  Raymond P. Najjar,et al.  Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs. , 2020, The New England journal of medicine.

[5]  E. Lamoureux,et al.  Patient-reported Outcomes, Functional Assessment, and Utility Values in Glaucoma , 2019, Journal of glaucoma.

[6]  Bo Wang,et al.  Adaptive optics optical coherence tomography in glaucoma , 2017, Progress in Retinal and Eye Research.

[7]  Pei Ying Lee,et al.  Prevalence of glaucoma in the Australian National Eye Health Survey , 2018, British Journal of Ophthalmology.

[8]  F. Medeiros,et al.  Prediction of functional loss in glaucoma from progressive optic disc damage. , 2009, Archives of ophthalmology.

[9]  Donald C. Hood,et al.  Improving our understanding, and detection, of glaucomatous damage: An approach based upon optical coherence tomography (OCT) , 2017, Progress in Retinal and Eye Research.

[10]  M. Cordeiro,et al.  Real-Time Imaging of Retinal Cell Apoptosis by Confocal Scanning Laser Ophthalmoscopy and Its Role in Glaucoma , 2018, Front. Neurol..

[11]  E. O'Neill,et al.  Glaucomatous optic neuropathy evaluation project: a standardized internet system for assessing skills in optic disc examination , 2011, Clinical & experimental ophthalmology.

[12]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[13]  Hiroshi Murata,et al.  Development of a deep residual learning algorithm to screen for glaucoma from fundus photography , 2018, Scientific Reports.

[14]  Susan M. Wakil,et al.  Human versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs. , 2019, American journal of ophthalmology.

[15]  For which glaucoma suspects is it appropriate to initiate treatment? , 2009, Ophthalmology.

[16]  Philip P. Chen,et al.  A multicenter, retrospective pilot study of resource use and costs associated with severity of disease in glaucoma. , 2006, Archives of ophthalmology.

[17]  J. Myint,et al.  The impact of postgraduate training on UK optometrists’ clinical decision‐making in glaucoma , 2014, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[18]  A. Hayen,et al.  Influence of education and diagnostic modes on glaucoma assessment by optometrists , 2015, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[19]  J. Crowston,et al.  Photopic Negative Response Obtained Using a Handheld Electroretinogram Device: Determining the Optimal Measure and Repeatability , 2016, Translational vision science & technology.

[20]  W. Price,et al.  Potential Liability for Physicians Using Artificial Intelligence. , 2019, JAMA.

[21]  Weidong (Tom) Cai,et al.  A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs. , 2018, Ophthalmology. Glaucoma.

[22]  M. Kass,et al.  Predicting the onset of glaucoma: the confocal scanning laser ophthalmoscopy ancillary study to theOcular Hypertension Treatment Study. , 2010, Ophthalmology.

[23]  Nara G. Ogata,et al.  What Is the Amount of Visual Field Loss Associated With Disability in Glaucoma? , 2019, American journal of ophthalmology.

[24]  R. Harwerth,et al.  Linking structure and function in glaucoma , 2010, Progress in Retinal and Eye Research.

[25]  B. Bengtsson,et al.  The Effect of Education on the Assessment of Optic Nerve Head Photographs for the Glaucoma Diagnosis , 2011, BMC ophthalmology.

[26]  Tony Redmond,et al.  Assessment of optic disc photographs for glaucoma by UK optometrists: the Moorfields Optic Disc Assessment Study (MODAS) , 2013, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[27]  P. Ramulu.  Glaucoma and disability: which tasks are affected, and at what stage of disease? , 2009, Current opinion in ophthalmology.

[28]  R. P. Mills,et al.  The Collaborative Initial Glaucoma Treatment Study: interim quality of life findings after initial medical or surgical treatment of glaucoma. , 2001, Ophthalmology.

[29]  Robert N Weinreb,et al.  Rates of retinal nerve fiber layer thinning in glaucoma suspect eyes. , 2013, Ophthalmology.