Ishith Seth

Peninsula Health · Department of Surgery

Background Vastus lateralis (VL) can be used to reconstruct defects of the head and neck. Whilst the advantages are documented, donor-site morbidity is not well described. This study aimed to assess donor-site morbidity after VL flap harvest. Results will determine future directions for preventative and post-operative care to improve patient health...

Background: Progesterone Receptor Membrane Component 1 (PGRMC1) is expressed in many cancer cells, where it is associated with detrimental patient outcomes. It contains phosphorylated tyrosines which evolutionarily preceded deuterostome gastrulation and tissue differentiation mechanisms. Results: We demonstrate that manipulating PGRMC1 phosphory...

Background: Progesterone Receptor Membrane Component 1 (PGRMC1) is expressed in many cancer cells, where it is associated with detrimental patient outcomes. It contains phosphorylated tyrosines which evolutionarily preceded deuterostome gastrulation and tissue differentiation mechanisms. Results: We demonstrate that manipulating PGRMC1 phosphorylat...

Background: Progesterone Receptor Membrane Component 1 (PGRMC1) is expressed in many cancer cells, where it is associated with detrimental patient outcomes. It contains phosphorylated tyrosines which evolutionarily preceded deuterostome gastrulation and tissue differentiation mechanisms. Results: We demonstrate that manipulating PGRMC1 phosphorylat...

Background: Progesterone Receptor Membrane Component 1 (PGRMC1) is expressed in many cancer cells, where it is associated with detrimental patient outcomes. It contains phosphorylated tyrosines which evolutionarily preceded deuterostome gastrulation and tissue differentiation mechanisms. Results: We demonstrate that manipulating PGRMC1 phosphorylat...

Background Abdominoplasty is a common operation, used for a range of cosmetic and functional issues, often in the context of divarication of recti, significant weight loss, and after pregnancy. Despite this, patient–surgeon communication gaps can hinder informed decision-making. The integration of large language models (LLMs) in healthcare offers p...

Background: Abdominoplasty is a critical aesthetic and functional procedure for individuals who have undergone massive weight loss. Numerous techniques have been proposed to optimize aesthetic results while minimizing complications. Methods: This prospective study examined 500 patients who underwent abdominoplasty during body-contouring procedure...

Background: Synchronous necrotising soft tissue infections (SNSTIs) are a rare and complex clinical phenomenon. Despite certain risk factors predisposing individuals to localized or single site NSTIs, the specific characteristics related to SNSTIs are not well-understood due to the lack of comprehensive epidemiological and clinical data. Methods:...

Purpose The integration of artificial intelligence and machine learning technologies into the medical field has brought about remarkable advancements, particularly in the domain of clinical decision support systems. However, it is uncertain how they will perform as clinical decision-makers. Methods This prospective cohort study evaluates the poten...

Clear cell acanthoma (CCA) and squamous cell carcinoma (SCC) represent distinct entities within dermatological oncology, each posing unique diagnostic and therapeutic challenges. CCA is a rare, benign epidermal growth, often not associated with human papillomavirus (HPV) infection, whereas SCC, a more aggressive form of skin cancer, has been linked...

Introduction Combined ventral hernia repair and abdominoplasty treat risk factors such as high body mass index and weak abdominal musculature, providing excellent intraoperative exposure and improved patient outcomes. Unfortunately, a combination of traditional procedures is unfeasible as the umbilical blood supply would be compromised, leading to...

Objective De Quervain's tenosynovitis causes pain and impairment of thumb function. Conservative treatments comprise corticosteroid injection and immobilization, and it is unclear which offers greater efficacy. Previous reviews were limited by the small number of included studies; thus an updated review and meta-analysis is warranted. Methods A sy...

Background Clinically recognizing the changes in carpal bone volumes and understanding their implications in predicting osteoarthritis (OA) is crucial in clinical practice This study aimed to explore age-related differences in carpal bone volumes across genders, leveraging computed tomography (CT) wrist scans to create 3D surface models of these bo...

Background: Atrophic scarring is a severe form disfiguring sequela of acne which can lead to negative effect on patients’ life. Fractional microplasma radiofrequency (RF) has emerged as a promising modality, leveraging dermal fibroblast remodeling to enhance aesthetic results for scars and hyperpigmentation. This study evaluates the efficacy and sa...

Background The management of distal radius giant cell tumors (GCTs) remains challenging, and the optimal approach is still a matter of debate. This systematic review and meta-analysis aimed to compare the outcomes of extended curettage and wide resection, the mainstays of treatment. Methods Medline (via PubMed), Cochrane Library, Web of Science, G...

We appreciate the thoughtful critique and additional perspectives provided. Our study was a novel design, focusing specifically on the precision and practicality of ChatGPT within the contemporary landscape. We appreciate that large language models (LLMs), although in their infancy currently, have rapidly advanced abilities and ever growing potenti...

Background Artificial intelligence (AI) has the potential to transform preoperative planning for breast reconstruction by enhancing the efficiency, accuracy, and reliability of radiology reporting through automatic interpretation and perforator identification. Large language models (LLMs) have recently advanced significantly in medicine. This study...

Background: Artificial intelligence (AI) has emerged as a powerful tool in various medical fields, including plastic surgery. This study aims to evaluate the performance of ChatGPT, an AI language model, in elucidating historical aspects of plastic surgery and identifying potential avenues for innovation. Methods: A comprehensive analysis of ChatG...

Background and Objective We have witnessed tremendous advances in artificial intelligence (AI) technologies. Breast surgery, a subspecialty of general surgery, has notably benefited from AI technologies. This review aims to evaluate how AI has been integrated into breast surgery practices, to assess its effectiveness in improving surgical outcomes...

Introduction The use of the dorsal hamate as a free osteochondral bone graft or vascularized bone flap has become the mainstay for large, comminuted middle phalanx volar lip fractures. To date, few studies have been conducted in the assessment of donor site morbidity for the hemi-hamate graft or flap, and none have discussed modes of repair or reco...

Abstract: Background: The medicinal leech has been used in plastic surgery to resolve venous congestion that can threaten the viability of tissue transfer. Within the context of breast surgery, venous congestion is a pertinent consideration for reconstructive and non-reconstructive breast surgery such as mammoplasty and mastopexy. However, leeching...

Background and Objective: In the face of advancing technologies and a greater understanding of human physiology and psychology, preoperative care is on the cusp of a paradigm shift. Healthcare is moving towards an emphasis on holistic care and technologies such as those of artificial intelligence (AI) are being implemented rapidly. This review aime...

Background: The integration of artificial intelligence in healthcare has led to the development of large language models that can address various medical queries, including intraoperatively. This study investigates the potential of ChatGPT in addressing intraoperative questions during the deep inferior epigastric perforator flap procedure. Methods:...

Background The advancement of artificial intelligence (AI), specifically Generative Adversarial Networks (GANs), offers exciting possibilities for the enhancement of medical education, with its image-generation capabilities becoming a topic of interest. This novel study evaluates the aptitude of combining a large language model, ChatGPT, with GANs...

Introduction The Ten Test (TT) is a touch threshold test that quantifies sensory discrimination by comparing an injured area with a contralateral uninjured area. It’s quick, simple, equipment-free and repeatable. However, as a subjective measure, the TT’s reliability and applicability need further investigation. This review aimed to investigate if...

Background: While current wound treatment strategies often focus on antimicrobials and topical agents, the role of nutrition in wound healing and aesthetic outcomes is crucial but frequently overlooked. This review assesses the impact of specific nutrients and preoperative nutritional status on surgical outcomes. Methods: A comprehensive search was...

Background: Although cataract surgery has been proposed as a potentially modifiable protective factor for enhancing emotional well-being in cataract patients, studies examining the relationship between anxiety or depression and cataract surgery have yielded inconsistent findings. This review summarizes existing evidence to establish whether catara...

Authors comment on the paper “The effect of drains and compressive garments versus progressive tensioning sutures on seroma formation in abdominoplasty” written by Brown et al in Aesthetic Plastic Surgery. Although the authors present interesting results on the effectiveness of progressive tensioning sutures proposed originally by Pollok and Pollok...

BACKGROUND Artificial intelligence (AI) chatbots like ChatGPT have made significant progress. These chatbots, particularly popular among healthcare professionals and patients, are transforming patient education and disease experience with personalized information. They are especially beneficial for populations such as men with prostate cancer conce...

The increasing integration of artificial intelligence (AI) into domains like medicine, surgery, and research, has brought unparal- leled advancements, and changed how doctors, particularly sur- geons, are perceived.1–9 The advent of AI-generated images using generative adversarial networks (GANs) and increased reliance on large language models (LLM...

Background Large language models (LLMs) are emerging artificial intelligence (AI) technology refining research and healthcare. Their use in medicine has seen numerous recent applications. One area where LLMs have shown particular promise is in the provision of medical information and guidance to practitioners. Objective This study aims to assess t...

The advent of artificial intelligence (AI) has significantly influenced various medical domains, including general surgery. This research aims to assess ChatGPT, an AI language model, in its ability to shed light on the historical facets of general surgery and pinpoint opportunities for innovation. A series of 7 pertinent questions on field of gene...

Objective To investigate the effect of pre‐rehabilitation interventions such as nutrition and exercise for patients with head and neck cancer (HNC). Methods Web of Science, PubMed, Scopus, Google Scholar, and Cochrane databases were searched up to December 2022. Quality of life, length of hospital stay, postoperative complications, change in body...

Background Appendicitis is a common surgical condition that requires urgent medical attention. Recent advancements in artificial intelligence and large language processing, such as ChatGPT, have demonstrated potential in supporting healthcare management and scientific research. This study aims to evaluate the accuracy and comprehensiveness of Chat...

Background: The growing interest in artificial intelligence (AI) has spurred an increase in the availability of Large Language Models (LLMs) in surgical education. These LLMs hold the potential to augment medical curricula for future healthcare professionals, facilitating engagement in remote learning experiences, and assisting in personalised stud...

Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to transform medical and patient education. Leveraging GANs in medical fields, especially cosmetic surgery, provides a plethora of benefits, including upholding patient confidentiality, ensuring broad exposure to diverse patient scenarios, and democratizing med...

Background and objectives Vasovasostomy is a cost-effective procedure for the reversal of vasectomy. A water-tight adequately blood-supplied mucosal anastomosis is required for better outcomes. This review aimed to compare the outcome of vasovasostomy performed by three different techniques: macroscopic, pure microsurgical, and robot-assisted micro...

We are grateful for the thoughtful commentary provided by Kleebayoon and Wiwanitkit on our recent article published in the ANZ Journal of Surgery. While we welcome this scholarly engagement, we find it imperative to address their concerns in order to elucidate the robustness of our study's design, methodology, and findings. First, the concern regar...

Pregnancy-associated breast cancer (PABC) is a rare, yet significant clinical entity which presents itself during pregnancy or within one year postpartum. This case report and literature review discusses the case of a 33-year-old G1P0 woman diagnosed with PABC at 38 weeks’ gestation with an uncomplicated pregnancy and no significant risk factors. F...

Background Augmented reality (AR) technology, exemplified by devices such as the Microsoft HoloLens 2, has gained interest for its potential applications in preoperative guidance. This study explores the use of AR technology for perforator identification during deep inferior epigastric artery perforator (DIEP) flap breast reconstruction. Methods A...

Autologous breast reconstruction surgery is a vital part of the recovery process for patients with breast cancer. While various reconstructive options exist, the deep inferior epigastric artery perforator (DIEP) flap is often favoured for its ability to closely mimic natural breast tissue. However, the complex vascular anatomy associated with the d...

Background: Large language models (LLMs) are emerging artificial intelligence (AI) technology refining research and healthcare. The impact of these models on presurgical planning and education remains under-explored. Objectives: This study aims to assess 3 prominent LLMs – Google’s AI BARD (Mountain View, CA), Bing’s AI (Microsoft; Redmond, WA), a...

Background Large language models (LLMs) are emerging artificial intelligence (AI) technologies refining research and healthcare. However, the impact of these models on presurgical planning and education remains under-explored. Objectives This study aims to assess 3 prominent LLMs—Google's AI BARD (Mountain View, CA), Bing AI (Microsoft, Redmond, W...

Background: The COVID-19 pandemic has significantly disrupted clinical experience and exposure of medical students and junior doctors. Artificial Intelligence (AI) integration in medical education has the potential to enhance learning and improve patient care. This study aimed to evaluate the effectiveness of three popular large language models (L...

This study evaluated three prominent Large Language Models (LLMs)-Google’s AI BARD, Bing’s AI, and ChatGPT-4 in providing patient advice for hand laceration. Five simulated patient inquiries on hand trauma were prompted to them. A panel of Board-certified plastic surgical residents evaluated the responses for accuracy, comprehensiveness, and approp...

Abstract: Breast reconstruction is an essential component in the multidisciplinary management of breast cancer patients. Over the years, preoperative planning has played a pivotal role in assisting surgeons in planning operative decisions prior to the day of surgery. The evolution of preopera-tive planning can be traced back to the introduction of...

Purpose: To evaluate the vision-related quality of life (VRQoL) of patients receiving hemodialysis through the assessment of the impact of vision impairment (IVI) questionnaire and ocular parameters, including best-corrected visual acuity (BCVA), intraocular pressure (IOP), and refraction as calculated by spherical equivalent (SE) of each eye. Me...

Background: The COVID-19 pandemic has affected medical education, constraining clinical exposure and posing unprecedented challenges for students and junior doctors. This research explores the potential of artificial intelligence (AI), specifically the ChatGPT-4 language model, to transform medical education and address the deficiencies in clinical...

Background: Breast reconstruction is a pivotal part of the recuperation process following a mastectomy and aims to restore both the physical aesthetic and emotional well-being of breast cancer survivors. In recent years, artificial intelligence (AI) has emerged as a revolutionary technology across numerous medical disciplines. This narrative revie...

Purpose: Recently, large language models, such as ChatGPT, have emerged as promising tools to facilitate scientific research and health care management. The present study aimed to explore the extent of knowledge possessed by ChatGPT concerning carpal tunnel syndrome (CTS), a compressive neuropathy that may lead to impaired hand function and that is...

Chat Generative Pre-Trained Transformer 3 (ChatGPT3) is an open artificial intelligence (AI) platform that utilizes deep learning to produce human-like text, which could greatly reduce the time spent on literature search, data analysis and research writing in future, and ensures academic standards of writing. This study aims to evaluate the informa...

Background Vascularized lymph node transfer (VLNT) is an effective microsurgical method for the treatment of lymphedema. Knowledge of lymph node quantity and regional anatomy of donor sites are essential for surgery optimization. The aim of the study was to quantify the level I lymph nodes of the neck (submental and submandibular lymph nodes), desc...

ChatGPT in surgical research and practice: a threat to academic integrity, authorship, and divergent thinking Dear Editor, In the rapidly evolving field of artificial intelligence (AI), OpenAI's large language model (LLM), ChatGPT is set to leave indelible marks on academia and healthcare. 1 Amongst its numerous AI applications, ChatGPTs utility is...

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, including Australia. The absence of a consensus clinical practice guideline (CPG) specific to HCC management poses challenges in reducing morbidity, mortality, and improving patient recovery. This systematic review aims to evaluate the existing evidence...

Background: Three-dimensional (3D) printing technology allows for patient-specific anatomical reconstruction. This study aims to summarize and critique the current literature on 3D-printed carpal bone implants used in various carpal pathologies. Methods: Web of Science, PubMed, Scopus, Google Scholar, and Cochrane Central Register of Controlled Tr...

Background: The trapeziometacarpal joint (TMCJ) is the most common hand joint affected by osteoarthritis (OA), and trapezium implant arthroplasty is a potential treatment for recalcitrant OA. This meta-analysis aimed to investigate the efficacy and safety of various trapezium implants as an interventional option for TMCJ OA. Methods: Web of Scie...

Background and Objective: The last few decades have witnessed remarkable advancements in the field of surgical breast cancer management. Compared to earlier historical periods when non-invasive interventions were prioritized, comprising up to 70% of breast cancer management, surgical intervention has now become an increasingly viable alternative. T...

Background: ChatGPT is an open-source artificial intelligence (AI) chatbot that uses deep learning to produce human-like text dialog. Its potential applications in the scientific community are vast; however, its efficacy on performing comprehensive literature searches, data analysis and report writing on aesthetic plastic surgery topics remains unk...

Dear Editor, The recent letter to the editor by Buzzaccarini et al., which concurs with our study, delves into the exploration of ChatGPT’s role as an AI entity in aesthetic surgery. They accentuate the importance of AI-powered platforms, specifically, large language models (LLMs) such as ChatGPT in healthcare and patient education. The prospect of...

Purpose: Major risk factors of atherosclerotic cardiovascular disease (ASCVD) and mortality have been well-established in the general population. Our study is aimed at assessing longitudinal relationships between ASCVD risk factors and incident ASCVD events or all-cause mortality in patients with age-related macular degeneration (AMD). Methods:...

ChatGPT is an open artificial intelligence chat box that could revolutionize academia and augment research writing. This study had an open conversation with ChatGPT and invited the platform to evaluate this article through series of five questions on base of thumb arthritis to test if its contributions and contents merely add artificial unusable in...

Background The association of obstructive sleep apnea (OSA) with development of eye diseases is unclear. This current systematic review and meta-analysis attempts to summarize and analyze associations between OSA and ocular disorders in the literature. Methods PubMed, EMBASE, Google Scholar, Web Of Science, and Scopus databases were searched from...

Background: Autologous fat grafting (AFG) is a breast augmentation method for treating volume and contour abnormalities. This systematic review aims to summarize complications, radiological safety, volume retention, and patient satisfaction associated with AFG. Methods: PubMed, EMBASE, Google Scholar, Cochrane CENTRAL, Wiley library, clinical key/...

Background: The integration of artificial intelligence (AI) and machine learning (ML) technologies into healthcare is transforming patient-practitioner interaction and could offer an additional platform for patient education and support. Objectives: This study investigates whether ChatGPT-4 could provide safe and up-to date medical information a...

Background: ChatGPT, an open-source Artificial Intelligence (AI) chatbot, utilizes deep learning to generate human-like textual dialogues. Its potential applications within the scientific community are extensive, yet its effectiveness in providing innovative ideas on various topics remains unexplored. This study aims to evaluate ChatGPT's responses...

Purpose: To evaluate the overall performance of various Artificial Intelligence (AI) models in ophthalmology for the diagnosis of various ophthalmic diseases despite of variations in methodology, platforms built, and workflows. AI technologies can revolutionize ophthalmology and vision sciences through automating image analysis. Methods: A syste...

Background: ChatGPT is an open-source artificial large language model that uses deep learning to produce human-like text dialogue. This observational study evaluated the ability of ChatGPT to provide informative and accurate responses to a set of hypothetical questions designed to simulate an initial consultation about rhinoplasty. Methods: Nine q...

Background: The impact of chemotherapy on complications following breast reconstruction surgery (BRS) is currently inconclusive. This meta-analysis investigates the impact of chemotherapy on complication rates in BRS. Methods: Preferred Reporting in Systematic Review and Meta-Analysis guidelines were used to search relevant studies published from...

Background Shear wave elastography (SWE) is an emerging ultrasound-based technology that provides a quantitative assessment of musculoskeletal tissue integrity. This systematic review investigates the use of SWE in the evaluation of rotator cuff tears. Methods PubMed, EMBASE, Web of Science, Google Scholar, and the Cochrane Library databases were s...

Purpose: To assess the association of optic capillary perfusion with decline in the estimated glomerular filtration rate (eGFR) and to clarify its added value. Design: Prospective, observational cohort study. Methods: T2DM patients without diabetic retinopathy (non-DR) underwent standardized examinations annually during a three-year follow-up...

Background: To investigate the association between keratoconus (KC) and allergic eye diseases, eye rubbing, and atopy. Methods: PubMed, Web of Science, Scopus, and Cochrane databases were searched for studies investigating eye allergy, atopy, and eye rubbing as risk factors for KC up to April 2021. Two authors independently screened all titles and...

The Chat Generative Pre-Trained Transformer (Chat-GPT) is an artificial intelligence (AI) platform that was made available to the public in November of 2022. This technology, which is capable of generating humanoid text, has been regarded as a tool that can reduce the workload burden of writing scientific journal articles while ensuring the academi...

Introduction: Sclera forms the outer fibrous coat of the eye and provides structural integrity for the housing of intraocular contents. Scleral thinning is a serious progressive condition which can lead to perforation and worsening visual functioning. This review aims to summarize the anatomical consideration and causes of scleral thinning, diagno...

Purpose: Ileostomy volvulus is a rare cause of small bowel obstruction. We present an unusual case of ileostomy volvulus without the presence of adhesions. Additionally, a systematic literature review was performed to collate the current literature on the causes, diagnosis, treatment, and preventative measures of ileostomy-related small bowel obst...

Introduction and importance: Surgical resection is the mainstay for management of splenic flexure cancers, with the aim of achieving adequate lymphadenectomy. Left-sided bowel resections often require ligation of the inferior mesenteric vein (IMV) for mesocolic dissection or lymphadenectomy which can result in congestive colitis on the anal side o...

(Int J Gynaecol Obstet. 2022;159:317–318) Cases of non–immune-mediated anaphylaxis to synthetic oxytocin are exceedingly rare, occurring with an incidence of less than 1 in 20,000. Timely diagnosis and immediate coordinated interdisciplinary response are essential for favorable outcomes. Such a case is presented in the context of a patient with a f...