Pre-event psychiatric states predict trajectories of event-related distress in Japan.

Background: Recent time-dependent analyses of stress-related disorders have identified heterogeneity of trajectories and their modifying factors. While psychiatric patients are vulnerable to stress events, it is unclear how psychiatric conditions in the general population modulate subsequent event-related distress trajectories.

Methods: Using a longitudinal online survey from before the COVID-19 pandemic to post-pandemic follow-ups (n = 3815 Japanese adults) and a latent growth mixture model, we identified four trajectories of pandemic-related stress symptoms: resilient, chronic, mild chronic, and early response.

Prospective study of a rotating gantry with scanning beams of carbon-ion radiotherapy for choroidal malignant melanoma.

To evaluate the safety of a rotating gantry with scanning beams of carbon-ion radiotherapy (C-ion RT) for choroidal malignant melanoma. A prospective study of C-ion RT using a rotating gantry with scanning beams for choroidal malignant melanoma was initiated at the National Institute for Quantum Science and Technology, QST Hospital in March 2018. The inclusion criteria were as follows: (i) clinically diagnosed ocular/choroidal malignant melanoma; (ii) tumor measurable by imaging tests; (iii) score of 0-2 on the Eastern Cooperative Oncology Group Performance Status scale and (iv) ability to provide consent for treatment.

A transdiagnostic dimensional approach to behavioral dysregulation: Examining self-reported reward and punishment sensitivity across psychopathology.

Aim: Theoretically, deficits in reward/punishment sensitivity are considered an essential component associated with behavioral dysregulation, which is characteristic of compulsive-impulsive disorders. However, recent studies have indicated that several disorders are linked to problems with reward/punishment sensitivity, and their results have been inconsistent. This lack of clinical specificity and robustness might reflect more general problems with traditionally diagnostic categories of psychiatry.

Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network.

Artificial intelligence (AI)-driven intraoperative navigation in urological surgery can enhance surgical precision through real-time structure identification and tracking. This study describes a novel AI solution that enables real-time fluorescence-like navigation (FLN) for robot-assisted radical cystectomy (RARC) with an initial focus on ureter, potentially enhancing outcomes and training efficacy. We established a new AI model using convolutional neural network (CNN) to achieve real-time intraoperative ureter recognition using 730 images from 17 RARC cases.

Decreases in smartphone overuse and moderators among adults in general after the COVID-19 outbreak: A three-year prospective study.

The outbreak of the coronavirus disease 2019 (COVID-19) led many individuals to utilize digital devices, including smartphones, to minimize in-person activities. How the pandemic brought about a long-term impact on smartphone overuse is still unclear owing to mixed results of previous studies. This prospective study investigated whether levels of smartphone overuse increased over three years after the COVID-19 outbreak.

Preoperative Visitation Effect on Quality of Life of Patients Undergoing Transarterial Chemoembolization for Hepatocellular Carcinoma.

Background/aim: While transcatheter arterial chemoembolization (TACE) is a treatment option for patients with Barcelona Clinic Liver Cancer stage B hepatocellular carcinoma, it is associated with physical and psychological pain, with concerns regarding its effect on quality of life (QOL). In December 2020, we introduced radiology nurse-led preoperative visits to patients undergoing TACE. This study aimed to examine QOL improvement following a preoperative visit.

AI-based visualization of loose connective tissue as a dissectable layer in gastrointestinal surgery.

We aimed to develop an AI model that recognizes and displays loose connective tissue as a dissectable layer in real-time during gastrointestinal surgery and to evaluate its performance, including feasibility for clinical application. Training data were created under the supervision of gastrointestinal surgeons. Test images and videos were randomly sampled and model performance was evaluated visually by 10 external gastrointestinal surgeons.

A Case of Primary Lung Adenocarcinoma With Recurrent Brain Metastasis due to Transformation to Small Cell Carcinoma During Adjuvant Atezolizumab Therapy.

Histologic transformation from non-small cell to small cell lung cancer (SCLC) is a resistance mechanism to immune checkpoint inhibitors. We report herein a case of lung adenocarcinoma who developed liver and brain metastases during adjuvant atezolizumab therapy. The patient underwent a craniotomy to resect a brain metastasis, which was pathologically diagnosed as SCLC.

Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair.

Purpose: In laparoscopic inguinal hernia surgery, proper recognition of loose connective tissue, nerves, vas deferens, and microvessels is important to prevent postoperative complications, such as recurrence, pain, sexual dysfunction, and bleeding. EUREKA (Anaut Inc., Tokyo, Japan) is a system that uses artificial intelligence (AI) for anatomical recognition.

Decoding and modifying dynamic attentional bias in gaming disorder.

With the spread of smartphones and computer games, concerns have escalated regarding the rising prevalence of gaming disorder. Patients often display attentional biases, unconsciously turning their attention towards gaming-related stimuli. However, attempts to discover and ameliorate these attentional deficits have yielded inconsistent outcomes, potentially due to the dynamic nature of attentional bias.

Accuracy of thoracic nerves recognition for surgical support system using artificial intelligence.

We developed a surgical support system that visualises important microanatomies using artificial intelligence (AI). This study evaluated its accuracy in recognising the thoracic nerves during lung cancer surgery. Recognition models were created with deep learning using images precisely annotated for nerves.

An artificial intelligence-based nerve recognition model is useful as surgical support technology and as an educational tool in laparoscopic and robot-assisted rectal cancer surgery.

Background: Artificial intelligence (AI) has the potential to enhance surgical practice by predicting anatomical structures within the surgical field, thereby supporting surgeons' experiences and cognitive skills. Preserving and utilising nerves as critical guiding structures is paramount in rectal cancer surgery. Hence, we developed a deep learning model based on U-Net to automatically segment nerves.

Laparoscopic distal gastrectomy skill evaluation from video: a new artificial intelligence-based instrument identification system.

The advent of Artificial Intelligence (AI)-based object detection technology has made identification of position coordinates of surgical instruments from videos possible. This study aimed to find kinematic differences by surgical skill level. An AI algorithm was developed to identify X and Y coordinates of surgical instrument tips accurately from video.

Carbon ion radiotherapy for mesonephric adenocarcinoma of the uterine cervix: a case report.

Background: Mesonephric adenocarcinoma is an extremely rare subtype of uterine cervical cancer that is associated with a poor prognosis and for which a standardized treatment protocol has not been established. Carbon ion radiotherapy (CIRT) is an emerging radiotherapy modality that has been shown to have a favorable anti-tumor effect, even for tumors resistant to conventional photon radiotherapy or chemotherapy. However, there is no report on CIRT outcomes for mesonephric adenocarcinoma of the uterine cervix.

Precise highlighting of the pancreas by semantic segmentation during robot-assisted gastrectomy: visual assistance with artificial intelligence for surgeons.

Background: A postoperative pancreatic fistula (POPF) is a critical complication of radical gastrectomy for gastric cancer, mainly because surgeons occasionally misrecognize the pancreas and fat during lymphadenectomy. Therefore, this study aimed to develop an artificial intelligence (AI) system capable of identifying and highlighting the pancreas during robot-assisted gastrectomy.

Methods: A pancreas recognition algorithm was developed using HRNet, with 926 training images and 232 validation images extracted from 62 scenes of robot-assisted gastrectomy videos.

Novel navigation for laparoscopic cholecystectomy fusing artificial intelligence and indocyanine green fluorescent imaging.

This preliminary study is the first to demonstrate that AI can precisely identify loose connective tissue during laparoscopic cholecystectomy and ICG fluorescent cholangiography. Tashiro and colleagues conclude that this novel real-time navigation modality fusing AI and ICG fluorescent imaging may enhance safety and provide more reliable laparoscopic or robotic surgery.

Evidence of Tosufloxacin Deposition in the Kidneys of a Patient Presenting with Crystal Nephropathy.

Tosufloxacin tosilate is classified as a new quinolone antibacterial agent, which has been reported to cause crystal nephropathy. However, the origin of these crystal deposits has not yet been elucidated. We encountered a case of renal failure that progressed slowly owing to crystal-forming interstitial nephritis after long-term exposure to tosufloxacin.

The relationship of game genres, in-game purchases, and playing duration with probable gaming disorder in two independent, large-scale online surveys of Japanese adults.

Background And Aims: Game genres, availability on smartphones, in-game purchases, and playing duration, have been thought to influence Gaming Disorder (GD). However, little research has comprehensively examined their relationships with GD. Therefore, we examined the relationship between GD, in-game purchases, gaming duration via consoles and smartphones, and genres of smartphone games.

Resting phase-administration of lemborexant ameliorates sleep and glucose tolerance in type 2 diabetic mice.

Sleep disorders are associated with increased risk of obesity and type 2 diabetes. Lemborexant, a dual orexin receptor antagonist (DORA), is clinically used to treat insomnia. However, the influence of lemborexant on sleep and glucose metabolism in type 2 diabetic state has remained unknown.

Development of a Novel Artificial Intelligence System for Laparoscopic Hepatectomy.

Background/aim: Laparoscopic hepatectomy (LH) requires accurate visualization and appropriate handling of hepatic veins and the Glissonean pedicle that suddenly appear during liver dissection. Failure to recognize these structures can cause injury, resulting in severe bleeding and bile leakage. This study aimed to develop a novel artificial intelligence (AI) system that assists in the visual recognition and color presentation of tubular structures to correct the recognition gap among surgeons.

Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.

Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can precisely identify intrahepatic vascular structures during laparoscopic liver resection in real time through color coding under bleeding and indocyanine green fluorescent imaging. The system supports real-time navigation and offers potentially safer laparoscopic or robotic liver surgery.

[A Case of Advanced Esophagogastric Junction Adenocarcinoma with Enlarged Lymph Node Metastases of the Middle Mediastinum and Intraperitoneal That Exhibited pCR by Preoperative SOX Therapy].

A 79-year-old man was diagnosed with esophagogastric junction adenocarcinoma, cT3N3M0, cStage Ⅲ, including enlarged lymph node metastases(Bulky N)in the middle mediastinum and intraperitoneal. A total of 2 cycles of S-1 plus oxaliplatin(SOX)was administered. After neoadjuvant chemotherapy, the primary tumor and enlarged lymph nodes had greatly decreased in size.

Validity, reliability, and correlates of the Smartphone Addiction Scale-Short Version among Japanese adults.

Background: The short version of the smartphone addiction scale (SAS-SV) is widely used to measure problematic smartphone use (PSU). This study examined the validity and reliability of the SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems.

Methods: Datasets from a larger project on smartphone use and mental health were used to conduct two studies.