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Daniel Milad

Showing results (31-40 of 42) with videos related to

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Survey of Ophthalmology|October 2, 2024
The role of artificial intelligence in macular hole management: A scoping reviewDavid Mikhail, Daniel Milad, Fares Antaki, et al.
Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'Oto-Rhino-Laryngologie Et De Chirurgie Cervico-Faciale|March 22, 2019
Translation, cultural adaptation and validation of the SCHNOS in FrenchMarie-Renée Atallah, Daniel Milad, Youcef-Hamza Benamer, et al.
Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'Oto-Rhino-Laryngologie Et De Chirurgie Cervico-Faciale|May 17, 2019
French translation, cultural adaptation and validation of the BDDQ-AS for rhinoplasty patientsDaniel Milad, Marie-Renée Atallah, Youcef-Hamza Benamer, et al.
The British Journal of Ophthalmology|November 3, 2023
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answeringFares Antaki, Daniel Milad, Mark A Chia, et al.
JAMA Otolaryngology-- Head & Neck Surgery|September 6, 2019
Preoperative Risk Index Among Patients Undergoing Thyroid or Parathyroid SurgeryMarco Antonio Mascarella, Daniel Milad, Keith Richardson, et al.
JAMA Ophthalmology|September 4, 2025
DeepSeek-R1 vs OpenAI o1 for Ophthalmic Diagnoses and Management PlansDavid Mikhail, Andrew Farah, Jason Milad, et al.
Ophthalmology Science|April 4, 2025
Code-Free Deep Learning Glaucoma Detection on Color Fundus ImagesDaniel Milad, Fares Antaki, David Mikhail, et al.
Journal of Personalized Medicine|April 25, 2025
Multimodal Performance of GPT-4 in Complex Ophthalmology CasesDavid Mikhail, Daniel Milad, Fares Antaki, et al.
American Journal of Ophthalmology|June 2, 2025
Performance of Artificial Intelligence-Based Models for Epiretinal Membrane Diagnosis: A Systematic Review and Meta-AnalysisDavid Mikhail, Angel Gao, Andrew Farah, et al.
The British Journal of Ophthalmology|July 23, 2025
Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectivenessDavid Mikhail, Andrew Farah, Jason Milad, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
Survey of Ophthalmology|October 2, 2024
The role of artificial intelligence in macular hole management: A scoping reviewDavid Mikhail, Daniel Milad, Fares Antaki, et al.
Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'Oto-Rhino-Laryngologie Et De Chirurgie Cervico-Faciale|March 22, 2019
Translation, cultural adaptation and validation of the SCHNOS in FrenchMarie-Renée Atallah, Daniel Milad, Youcef-Hamza Benamer, et al.
Journal of Otolaryngology - Head & Neck Surgery = Le Journal D'Oto-Rhino-Laryngologie Et De Chirurgie Cervico-Faciale|May 17, 2019
French translation, cultural adaptation and validation of the BDDQ-AS for rhinoplasty patientsDaniel Milad, Marie-Renée Atallah, Youcef-Hamza Benamer, et al.
The British Journal of Ophthalmology|November 3, 2023
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answeringFares Antaki, Daniel Milad, Mark A Chia, et al.
JAMA Otolaryngology-- Head & Neck Surgery|September 6, 2019
Preoperative Risk Index Among Patients Undergoing Thyroid or Parathyroid SurgeryMarco Antonio Mascarella, Daniel Milad, Keith Richardson, et al.
JAMA Ophthalmology|September 4, 2025
DeepSeek-R1 vs OpenAI o1 for Ophthalmic Diagnoses and Management PlansDavid Mikhail, Andrew Farah, Jason Milad, et al.
Ophthalmology Science|April 4, 2025
Code-Free Deep Learning Glaucoma Detection on Color Fundus ImagesDaniel Milad, Fares Antaki, David Mikhail, et al.
Journal of Personalized Medicine|April 25, 2025
Multimodal Performance of GPT-4 in Complex Ophthalmology CasesDavid Mikhail, Daniel Milad, Fares Antaki, et al.
American Journal of Ophthalmology|June 2, 2025
Performance of Artificial Intelligence-Based Models for Epiretinal Membrane Diagnosis: A Systematic Review and Meta-AnalysisDavid Mikhail, Angel Gao, Andrew Farah, et al.
The British Journal of Ophthalmology|July 23, 2025
Performance of DeepSeek-R1 in ophthalmology: an evaluation of clinical decision-making and cost-effectivenessDavid Mikhail, Andrew Farah, Jason Milad, et al.
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