Understanding patients' self-reported chemotherapy side effects is significant because it affects quality of life (QOL) and compliance with treatment. Our current knowledge comes from available literature, whose external validity questionable. Moreover, there are very few studies in the literature that focus on various cancers their associated effects.A single-center, prospective observational study was conducted at a tertiary care center July 2019 to 2021. After deriving sample size, we...

Background Abdominal wall hernias are a common surgical entity encountered by the general surgeon. Approximately 10% of abdominal hernia patients require emergency surgery. However, these surgeries associated with high rate postoperative morbidity and mortality. This study aimed to analyze mortality in undergoing repair determine factors site infection (SSI) recurrence attending tertiary care hospital south India. Methodology Our was single-centered, 10-year retrospective one-year...

As machine learning models continue to achieve impressive performance across different tasks, the importance of effective anomaly detection for such has increased as well. It is common knowledge that even well-trained lose their ability function effectively on out-of-distribution inputs. Thus, (OOD) received some attention recently. In vast majority cases, it uses distribution estimated by training dataset OOD detection. We demonstrate current detectors inherit biases in dataset,...

Uncertainty quantification and robustness to distribution shifts are important goals in machine learning artificial intelligence. Although Bayesian Neural Networks (BNNs) allow for uncertainty the predictions be assessed, different sources of indistinguishable. We present Credal Deep Learning (CBDL). Heuristically, CBDL allows train an (uncountably) infinite ensemble BNNs, using only finitely many elements. This is possible thanks prior likelihood generated credal sets (FGCSs), a concept...

A particularly challenging problem in AI safety is providing guarantees on the behavior of high-dimensional autonomous systems. Verification approaches centered around reachability analysis fail to scale, and purely statistical are constrained by distributional assumptions about sampling process. Instead, we pose a distributionally robust version verification for black-box systems, where our performance hold over large family distributions. This paper proposes novel approach based...

Candidal infection of the gastrointestinal tract (GIT) is rare but has recently increased due to number immunocompromised patients, injudicious use antibacterial agents, and prolonged antacid drugs in immunocompetent patients. The most frequent organ involved GIT candidiasis esophagus, followed by stomach, small intestine, large intestine. clinical spectrum gastric ranges from asymptomatic perforation even shock. This case report presents a 58-year-old male patient diagnosed with Candida...

Adversarial training (AT) and its variants have spearheaded progress in improving neural network robustness to adversarial perturbations common corruptions the last few years. Algorithm design of AT are focused on models at a specified perturbation strength $\epsilon$ only using feedback from performance that $\epsilon$-robust model improve algorithm. In this work, we focus models, trained spectrum values. We analyze three perspectives: performance, intermediate feature precision convolution...

This study aimed to evaluate the outcomes of laparoscopic inguinal hernia repair (LIHR) regarding postoperative pain, recurrence rates, duration hospital stay and other within context a tertiary care teaching in South India, initial experience repairs. The current consensus literature often suggests LIHR as superior open (OIHR).

Liver haemangiomas are the most common benign hepatic tumours, but secondary portal hypertension resulting from is exceedingly uncommon. We present a case of man in his 50s who presented with progressively enlarging mass right upper abdomen. CT liver revealed large hypodense lesion involving lobe, two smaller lesions left lobe. The vein was compressed by tumour, causing hypertension. patient underwent hepatectomy. Postoperatively, had an uneventful course, and 3-month follow-up demonstrated...

Large Deep Neural Networks (DNNs) are often data hungry and need high-quality labeled in copious amounts for learning to converge. This is a challenge the field of medicine since high quality scarce. Data programming has been ray hope this regard, it allows us label unlabeled using multiple weak labeling functions. Such functions supplied by domain expert. Data-programming can combine suggest labels better than simple majority voting over different However, not straightforward express such...

Building generalist agents that can rapidly adapt to new environments is a key challenge for deploying AI in the digital and real worlds. Is scaling current agent architectures most effective way build agents? We propose novel approach pre-train relatively small policies on datasets them unseen via in-context learning, without any finetuning. Our idea retrieval offers powerful bias fast adaptation. Indeed, we demonstrate even simple retrieval-based 1-nearest neighbor surprisingly strong...

A 57-year-old woman presented with complaints of swellings on both sides her neck for the past 4 years which were gradually increasing in size. They painless and she did not complain any difficulty breathing or swallowing. She had no blushing palpitations past.

Penile strangulation is an uncommon condition that mandates emergent management to remove the constricting device and restoring penile blood flow. Different kinds of metallic non-metallic objects were placed over penis due various reasons but mostly autoerotic intentions. We present a case middle-aged male who presented emergency with by hard plastic bottle, which was successfully removed using bone-cutter. The patient had uneventful recovery without any immediate complications. Treatment...

A 47-year-old man presented with problems of progressive abdominal distension for 3 months, associated dull aching pain, increasing food intake. He gave a 1-month history shortness breath on exertion and swelling the lower limbs. On examination, he was pale

Imitation learning considerably simplifies policy synthesis compared to alternative approaches by exploiting access expert demonstrations. For such imitation policies, errors away from the training samples are particularly critical. Even rare slip-ups in action outputs can compound quickly over time, since they lead unfamiliar future states where is still more likely err, eventually causing task failures. We revisit simple supervised ``behavior cloning'' for conveniently nothing than...

Intraductal papillary neoplasm of the bile duct (IPNB) is a rare tumor and considered one precursor lesions for cholangiocarcinoma. Though relatively common in far east countries, it uncommon Indian population. A 67-year-old gentleman presented with vague upper abdominal pain no history fever, jaundice, melena, or hematemesis. An ultrasound showed solid cystic lesion left lobe liver upstream dilatation ducts. Computed tomography magnetic resonance imaging similar findings. With differential...

Feeding jejunostomy (FJ) is a simple surgical procedure for enteral nutrition. But it can develop complications that may require re-exploration and be life-threatening. Common include mechanical ones such as tube migration or dislocation, infection, gastrointestinal symptoms fluid electrolyte imbalances. However, intussusception rare complication of FJ. A 54-year-old gentleman underwent D2 subtotal gastrectomy with Roux-en-Y gastrojejunostomy On the sixth postoperative day, he developed...