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  1. Article: Should RCT's be used as the gold standard for evidence based medicine?

    Ahuja, Abhimanyu S

    Integrative medicine research

    2019  Volume 8, Issue 1, Page(s) 31–32

    Language English
    Publishing date 2019-01-26
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2213-4220
    ISSN 2213-4220
    DOI 10.1016/j.imr.2019.01.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Cannabis-based treatments as an alternative remedy for epilepsy.

    Ahuja, Abhimanyu S

    Integrative medicine research

    2019  Volume 8, Issue 3, Page(s) 200–201

    Language English
    Publishing date 2019-07-23
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2213-4220
    ISSN 2213-4220
    DOI 10.1016/j.imr.2019.07.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Potential for Machine Learning-Based Wearables to Improve Socialization in Teenagers and Adults With Autism Spectrum Disorder.

    Ahuja, Abhimanyu S

    JAMA pediatrics

    2019  Volume 173, Issue 11, Page(s) 1105–1106

    Language English
    Publishing date 2019-11-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2701223-2
    ISSN 2168-6211 ; 2168-6203
    ISSN (online) 2168-6211
    ISSN 2168-6203
    DOI 10.1001/jamapediatrics.2019.2966
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: What is the best model of the physician-patient relationship?

    Ahuja, Abhimanyu S

    Journal of evaluation in clinical practice

    2019  Volume 25, Issue 6, Page(s) 1111–1112

    MeSH term(s) Attitude of Health Personnel ; Decision Making, Shared ; Humans ; Models, Psychological ; Patient Participation/methods ; Patient Preference ; Physician-Patient Relations ; Physicians/psychology
    Language English
    Publishing date 2019-04-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 1327355-3
    ISSN 1365-2753 ; 1356-1294
    ISSN (online) 1365-2753
    ISSN 1356-1294
    DOI 10.1111/jep.13156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Clinical Outcomes of MicroPulse Transscleral Laser Therapy with the Revised P3 Delivery Device.

    Checo, Leticia A / Dorairaj, Syril / Wagner, Isabella V / Ahuja, Abhimanyu S

    Journal of current glaucoma practice

    2024  Volume 18, Issue 1, Page(s) 10–15

    Abstract: ... velocities, and number of sweeps.: How to cite this article: Checo LA, Dorairaj S, Wagner IV, ... four, or three sweeps. The patient's IOP and glaucoma medications were monitored over 12 months follow ...

    Abstract Aim: To evaluate the success and safety of MicroPulse transscleral laser therapy (TLT) on intraocular pressure (IOP) reduction in adults with uncontrolled glaucoma using different total treatment durations, sweep velocities, and a number of sweeps utilizing the revised MicroPulse P3 delivery device.
    Materials and methods: A single-center Institutional Review Board (IRB) approved multiple cohort studies of MicroPulse TLT with the revised MicroPulse P3 delivery device, which was conducted in 61 eyes from 40 adults with uncontrolled glaucoma. Eyes that received 50-second (GI, GII, and GIII) and 60-second (GIV, GV, and GVI) treatment applications between May and October 2020 were reviewed. Each hemisphere received a total of five, four, or three sweeps. The patient's IOP and glaucoma medications were monitored over 12 months follow-up. Qualified success was defined as an IOP of ≤21 mm Hg and/or reduction of ≥20% from baseline at 12 months, with no secondary glaucoma reinterventions. Complete success was defined as meeting the above criteria with no increase in glaucoma medications at 12 months. All eyes requiring a glaucoma surgical intervention were considered a failure.
    Results: Qualified success was achieved in 83.6% of eyes, while complete success was achieved in 75.4% of eyes. In eyes receiving 50-second applications of five, four, or three sweeps (GI, GII, and GIII), 70, 90, and 91% achieved qualified success, respectively; in eyes receiving 60-second applications of five, four, or three sweeps (GIV, GV, and GVI), 78, 82, and 90% achieved qualified success, respectively. Within each subgroup, mean IOP reductions ranged from 32.8 to 49.4% and were statistically significant (
    Conclusions: MicroPulse TLT with the revised MicroPulse P3 delivery device and relatively low total energy levels is safe and effective at lowering IOP. Efficacy appears to increase with longer treatment durations and slower sweep velocities, but statistical differences between age and clinical differences between baseline IOP measurements limit comparison between subgroups.
    Clinical significance: There is a lack of literature evaluating the safety and IOP-lowering success of the revised MicroPulse P3 delivery device using different total treatment durations, sweep velocities, and number of sweeps.
    How to cite this article: Checo LA, Dorairaj S, Wagner IV,
    Language English
    Publishing date 2024-04-03
    Publishing country India
    Document type Journal Article
    ISSN 0974-0333
    ISSN 0974-0333
    DOI 10.5005/jp-journals-10078-1427
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: The impact of artificial intelligence in medicine on the future role of the physician.

    Ahuja, Abhimanyu S

    PeerJ

    2019  Volume 7, Page(s) e7702

    Abstract: The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of ...

    Abstract The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician-patient relationship.
    Language English
    Publishing date 2019-10-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.7702
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Tracking Online Interest in Artificial Intelligence in Ophthalmology Using Google Trends.

    Ahuja, Abhimanyu S / Rahimy, Ehsan / Sridhar, Jayanth

    Seminars in ophthalmology

    2023  Volume 38, Issue 7, Page(s) 644–647

    Abstract: Purpose: To examine trends in internet search queries related to artificial intelligence (AI) in ophthalmology and determine the correlation between online interest in AI, capital investment in AI, and peer-reviewed indexed publications regarding AI and ...

    Abstract Purpose: To examine trends in internet search queries related to artificial intelligence (AI) in ophthalmology and determine the correlation between online interest in AI, capital investment in AI, and peer-reviewed indexed publications regarding AI and ophthalmology.
    Methods: Online search trends for "AI retina", "AI eye", and "AI healthcare" were obtained via Google Trends from 2016 to 2022 on a relative interest scale in 1-week intervals. Global venture financing of AI- and machine learning (ML)-focused companies in healthcare was tracked from 2010 to 2019 from the consulting company, Klynveld Peat Marwick Goerdeler (KPMG), and the technology market intelligence company, CB Insights. Citation count from pubmed.gov was determined using the search query "artificial intelligence retina" from 2012 to 2021.
    Results: An increasingly linear growth in online search trends for "AI retina", "AI eye", and "AI healthcare" keyword searches was observed between 2016 and 2022. Global venture financing of AI and ML companies in healthcare also increased exponentially over the same time frame. There was an exponential increase in citations with nearly a 10-fold increase as reported by PubMed from 2015 onwards for the "artificial intelligence retina" search query. There was a significant and positive correlation between online search trends and investment trends (correlation coefficients of 0.98-0.99 and
    Conclusions: These results demonstrate that the applications of AI and ML in ophthalmology are increasingly being investigated, financed, and formally researched, suggesting a prominent role for AI-derived tools in ophthalmology clinical practice in the near future.
    MeSH term(s) Humans ; Artificial Intelligence ; Ophthalmology/methods ; Search Engine ; Machine Learning ; Delivery of Health Care
    Language English
    Publishing date 2023-04-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 632820-9
    ISSN 1744-5205 ; 0882-0538
    ISSN (online) 1744-5205
    ISSN 0882-0538
    DOI 10.1080/08820538.2023.2204919
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The dangers of police use of non-lethal weapons towards protesters: An ophthalmic perspective.

    Ahuja, Abhimanyu S / Forouhi, Madeline

    Journal of evaluation in clinical practice

    2020  Volume 27, Issue 1, Page(s) 22–24

    MeSH term(s) Humans ; Police ; Weapons
    Language English
    Publishing date 2020-09-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 1327355-3
    ISSN 1365-2753 ; 1356-1294
    ISSN (online) 1365-2753
    ISSN 1356-1294
    DOI 10.1111/jep.13468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Understanding the advent of artificial intelligence in ophthalmology.

    Ahuja, Abhimanyu S / Halperin, Lawrence S

    Journal of current ophthalmology

    2019  Volume 31, Issue 2, Page(s) 115–117

    Language English
    Publishing date 2019-05-28
    Publishing country India
    Document type Editorial
    ISSN 2452-2325
    ISSN 2452-2325
    DOI 10.1016/j.joco.2019.05.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Pediatric Implications of Opioid-Specific Parental Drug Use.

    Reddy, Vineet Pasam / Ahuja, Abhimanyu S

    JAMA pediatrics

    2020  Volume 174, Issue 3, Page(s) 303

    MeSH term(s) Analgesics, Opioid/adverse effects ; Child ; Humans ; Opioid-Related Disorders/drug therapy ; Opioid-Related Disorders/epidemiology ; Parents
    Chemical Substances Analgesics, Opioid
    Language English
    Publishing date 2020-02-04
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2701223-2
    ISSN 2168-6211 ; 2168-6203
    ISSN (online) 2168-6211
    ISSN 2168-6203
    DOI 10.1001/jamapediatrics.2019.5520
    Database MEDical Literature Analysis and Retrieval System OnLINE

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