Results 141 to 150 of about 17,154 (262)

AI‐Assisted Recognition of Actual Ureteral and Pancreatic Injuries in Laparoscopic Colorectal Surgery: A Randomized Video Review Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu   +9 more
wiley   +1 more source

Achievement of the Ideal Outcome After Pancreatectomy for Pancreatic Ductal Adenocarcinoma Is Associated With Earlier Initiation and Higher Completion Rates of Adjuvant Chemotherapy and Improved Long‐Term Survival

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Ideal Outcome is a composite quality indicator reflecting optimal postoperative course after pancreatic surgery. This study aimed to clarify the prognostic significance of achieving the Ideal Outcome and its influence on the initiation and completion of adjuvant chemotherapy.
Ryosuke Fukushima   +9 more
wiley   +1 more source

Morphology-based classification program of Achilles tendon ruptures using magnetic resonance imaging: a mapping study. [PDF]

open access: yesBMC Musculoskelet Disord
Sun A   +9 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

open access: yesAdvanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto   +3 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski   +5 more
wiley   +1 more source

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