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Development of a laparoscopic surgical skills simulation curriculum: Enhancing resident training through directed coaching and closed-loop feedback.
1. Lovasik BP, Fay KT, Patel A, Stetler J, Papandria D, Santore MT, Davis SS, Lin E, Srinivasan JK.
2. Surgery. 2022 Apr; 171 (4):897-903 Epub 2021 Sept 11
Comparing characteristics and perspectives of U.S. anesthesiology fellows in training and anesthesiologists in their first year of practice.
1. Toutkoushian E, Chen D, Sun H, Warner DO, Macario A, Deiner SG, Keegan MT.
2. BMC Med Educ. 2023 Dec 15; 23 (1):963
High-intensity aerobic, but not resistance or combined, exercise training improves both cardiometabolic health and skeletal muscle mitochondrial dynamics.
1. Ruegsegger GN, Pataky MW, Simha S, Robinson MM, Klaus KA, Nair KS.
2. J Appl Physiol (1985). 2023 Oct 1; 135 (4):763-774 Epub 2023 Aug 24
Need for formalized robotic training and curriculum in obstetrics and gynecology residency: an examination of current resident outlooks and perspectives.
1. Adkoli A, Eng S, Stephenson R.
2. J Robot Surg. 2024 May 21; 18(1):218.
Point-of-care ultrasound training in nephrology: a position statement by the International Alliance for POCUS in Nephrology.
1. Koratala A, Argaiz ER, Romero-Gonzalez G, Reisinger N, Anwar S, Beaubien-Souligny W, Bhasin-Chhabra B, Diniz H, Vaca Gallardo M, Graterol Torres F, Husain-Syed F, Hanko J, Jaberi A, Kazory A, Raina R, Ronco C, Salgado OJ, Sethi SK, Villavicencio-Ceron V, Yadla M, Bastos MG.
2. Clin Kidney J. 2024 Nov; 17 (11):sfae245 Epub 2024 Aug 14
Evaluation of Perceived Importance of Mohs Fellowship Training Program Characteristics by American College of Mohs Surgery Members.
1. Handfield C, McGuinness AE, Todd A, Brewer J.
2. Dermatol Surg. 2025 Jan 1; 51 (1):100-102 Epub 2024 July 18
Assessment of Medical Pancreatology Fellowship Training in the United States: A Collaborative Alliance for Pancreatic Education and Research (CAPER) Initiative.
1. Bush N, Yazici C, Han SY, Lee PJ, Abu-El-Haija M, Akshintala VS.
2. Pancreas. 2025 Feb 1; 54 (2):e166-e167 Epub 2024 Nov 13
Preserving noise texture through training data curation for deep learning denoising of high-resolution cardiac EID-CT.
1. Treb K, Chang S, Koons E, Marsh J, Foley T, Williamson E, McCollough C, Leng S.
2. Med Phys. 2025 Jul; 52 (7):e17938
SYNSTITCH: A SELF-SUPERVISED LEARNING NETWORK FOR ULTRASOUND IMAGE STITCHING USING SYNTHETIC TRAINING PAIRS AND INDIRECT SUPERVISION.
1. Yao X, Yu R, Hu D, Yang H, Lou A, Wang J, Lu D, Arenas G, Oguz B, Pouch A, Schwartz N, Byram BC, Oguz I.
2. Proc IEEE Int Symp Biomed Imaging. 2025 Apr; 2025 Epub 2025 May 12
Ark(+): Supervised training a single high-performance AI foundation model from many differently labeled datasets-no label consolidation required.
1. Ma D, Pang J, Senthil Velan S, Gotway MB, Liang J.
2. Med Image Anal. 2026 Feb; 108:103828 Epub 2025 Oct 29

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