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Cataract Surgery and Complications

This special issue belongs to the section “Ophthalmology“.

Special Issue Information

Dear Colleagues,

Advances in cataract surgery are directly linked to advances in ophthalmic medicine as a whole. The shortening of the learning curve in cataract surgery education has been an eternal theme, and one recent emerging problem is the increase in the number of cases of intraocular lens fall due to ruptured chin zonules. Moreover, patient dissatisfaction with premium intraocular lens is an additional new complication. In this Special Issue, we would like to explore ambitious approaches applied toward cataract surgery and complications. As clinical research methods enter a new era, we would anticipate submissions involving research that uses artificial intelligence technology as an objective measurement method.

Dr. Hitoshi Tabuchi
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • surgical outcomes
  • cataract surgical education
  • learning curve
  • multifocal intraocular lenses
  • toric intraocular lenses
  • patient satisfaction
  • IOL power calculation
  • intrascleral fixation
  • dislocation of intraocular lens
  • artificial intelligence
  • deep learning

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J. Clin. Med. - ISSN 2077-0383