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Objectives: Hip MRI using standard multiplanar sequences requires long scan times. Accelerating MRI is accompanied by reduced image quality. This study aimed to compare standard two-dimensional (2D) turbo spin echo (TSE) sequences with accelerated 2D TSE sequences with deep learning (DL) reconstruction (TSE_DL) for routine clinical hip MRI at 1.5 and 3 T in terms of feasibility, image quality, and diagnostic performance. Material and Methods: In this prospective, monocentric study, TSE_DL was implemented clinically and evaluated in 14 prospectively enrolled patients undergoing a clinically indicated hip MRI at 1.5 and 3T between October 2020 and May 2021. Each patient underwent two examinations: For the first exam, we used standard sequences with generalized autocalibrating partial parallel acquisition reconstruction (TSE_S). For the second exam, we implemented prospectively undersampled TSE sequences with DL reconstruction (TSE_DL). Two radiologists assessed the TSE_DL and TSE_S regarding image quality, artifacts, noise, edge sharpness, diagnostic confidence, and delineation of anatomical structures using an ordinal five-point Likert scale (1 = non-diagnostic; 2 = poor; 3 = moderate; 4 = good; 5 = excellent). Both sequences were compared regarding the detection of common pathologies of the hip. Comparative analyses were conducted to assess the differences between TSE_DL and TSE_S. Results: Compared with TSE_S, TSE_DL was rated to be significantly superior in terms of image quality (<i>p</i> ≤ 0.020) with significantly reduced noise (<i>p</i> ≤ 0.001) and significantly improved edge sharpness (<i>p</i> = 0.003). No difference was found between TSE_S and TSE_DL concerning the extent of artifacts, diagnostic confidence, or the delineation of anatomical structures (<i>p</i> > 0.05). Example acquisition time reductions for the TSE sequences of 52% at 3 Tesla and 70% at 1.5 Tesla were achieved. Conclusion: TSE_DL of the hip is clinically feasible, showing excellent image quality and equivalent diagnostic performance compared with TSE_S, reducing the acquisition time significantly.