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Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Acta dermatovenerologica Croatica : ADC
Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple or single lesions larger than 5 mm. In contrast to typical molluscum contagiosum, dermoscopic features of giant lesions have been poorly described, an...

[A Case of Port-Site Herniation from an Eight mm Port after Robot-Assisted Distal Gastrectomy].

Gan to kagaku ryoho. Cancer & chemotherapy
A 63-year-old-woman was diagnosed with gastric cancer cStage ⅠA after ESD, and then, underwent robot-assisted distal gastrectomy. She vomited on the postoperative day 2 and then was inserted nasogastric tube. The amount of drainage from the tube was ...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Gan to kagaku ryoho. Cancer & chemotherapy
Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insurance in Japan since April 2018. We launched RALS in our hospital in October 2019 and now report the short-term results(up to January 2020). Altogether...

New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

European review for medical and pharmacological sciences
OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and...

Potential of Artificial Intelligence for Estimating Japanese Fetal Weights.

Acta medica Okayama
We developed an artificial intelligence (AI) method for estimating fetal weights of Japanese fetuses based on the gestational weeks and the bi-parietal diameter, abdominal circumference, and femur length. The AI comprised of neural network architectu...

Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).

Journal of drugs in dermatology : JDD
BACKGROUND: Drug resistance to biologics in psoriasis therapy can occur – it may be acquired during a treatment or else present itself from the beginning. To date, no biomarkers are known that may reliably guide clinicians in predicting respons...

Development of a machine learning algorithm for early detection of opioid use disorder.

Pharmacology research & perspectives
BACKGROUND: Opioid use disorder (OUD) affects an estimated 16 million people worldwide. The diagnosis of OUD is commonly delayed or missed altogether. We aimed to test the utility of machine learning in creating a prediction model and algorithm for e...

Early Prediction of Sepsis From Clinical Data Using Ratio and Power-Based Features.

Critical care medicine
OBJECTIVES: Early prediction of sepsis is of utmost importance to provide optimal care at an early stage. This work aims to deploy soft-computing and machine learning techniques for early prediction of sepsis.