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Effective summarization of unstructured patient data in electronic health records (EHRs) is crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with information overload and time constraints. This review dives into recent literature and case studies on both the significant impacts and outstanding issues of patient chart review on communications, diagnostics, and management. It also discusses recent efforts to integrate artificial intelligence (AI) into clinical summarization tasks, and its transformative impact on the clinician's potential, including but not limited to reductions of administrative burden and improved patient-centered care.

We present an approach that combines photon spectrum correlation analysis with the reconstruction of three-dimensional momentum distribution from velocity map images in an efficient, single-step procedure. We demonstrate its efficacy with the results from the photoionization of the $2p$-shell of argon using the FLASH free-electron laser~(FEL). Distinct spectral features due to the spin-orbit splitting of Ar$^+(2p^{-1})$ are resolved, despite the large average bandwidth of the ionizing pulses from the FEL. This demonstrates a clear advantage over the conventional analysis method, and it will be broadly beneficial for velocity map imaging experiments with FEL sources. The retrieved linewidth of the binding energy spectrum approaches the resolution limitation prescribed by the spectrometers used to collect the data. Our approach presents a path to extend spectral-domain ghost imaging to the case where the photoproduct observable is high-dimensional., Comment: 14 pages

We investigate the effect of shape and orientation for a horizontally oscillating intruder on its vertical dynamics in a granular medium via Discrete Element Method (DEM) simulations. Five distinct intruder shapes were considered in this study: a disk (OS1), a square (OS2), two rectangles with aspect ratio > 1 (OS3) and < 1 (OS4) respectively, and an equilateral triangle (OS5). The vertical velocity of the oscillating object was observed to be a function of amplitude and frequency (f) (inverse of time period (T)) of oscillation, and the shape of the object. The dynamics of the motion are modelled with the help of a cavity based model which can empirically produce the regimes observed by incorporating the free fall of the particles filling the cavity.The cavity based model assumes that there is a point on the surface of each oscillating object unique to its shape that any grain crossing it will irreversibly reach the bottom of the cavity. This leads to the creation of bed of particles at the bottom of the cavity which increases intruder's elevation as it oscillates, leading to its vertical rise in the granular medium. When an intruder oscillates much faster than the falling rate of the grains, the intruder cannot rise up and thus sinks due to energy provided by the oscillation to the bottom layer. On the contrary, if the intruder oscillates too slow, the cavity gets completely filled much before it returns. The maximum rise rate is thus observed at the oscillation time period where the cavity filling time is equal to the half time period of oscillation. In addition, we observed a minimum amplitude (Amin) below which the vertical position of the IO remains unaltered for various T. We have also presented the time-averaged pressure P, velocity V, and area fraction {\phi} fields around the intruder shapes., Comment: 21 pages, 14 figures