Bryan Lim

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Verified

Bryan verified their affiliation via an institutional email.

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• Doctor of Medicine
• Medical Doctor at Alfred Hospital

Minimally invasive treatments for Dupuytren’s disease (DD), such as percutaneous needle fasciotomy (PNF) and collagenase clostridium histolyticum (CCH), have become alternatives to open surgeries. This meta-analysis compared these treatments in terms of complications, patient satisfaction, clinical outcomes, and recurrence. Relevant studies up to J...

Background/Objectives: The rapid development of Large Language Models (LLMs) presents promising applications in healthcare, including patient education. In anesthesia, where patient anxiety is common due to misunderstandings and fears, LLMs could alleviate perioperative anxiety by providing accessible and accurate information. This study explores t...

Aim: In the digital age, artificial intelligence (AI) platforms have gradually replaced traditional manual techniques for information retrieval. However, their effectiveness in conducting academic literature searches remains unclear, necessitating a comparative assessment. This study examined the efficacy of AI search engines (Elicit, Consensus, Ch...

Background/Objectives: Digital twin technology, initially developed for engineering and manufacturing, has entered healthcare. In plastic surgery, digital twins (DTs) have the potential to enhance surgical precision, personalise treatment plans, and improve patient outcomes. This systematic review aims to explore the current use of DTs in plastic s...

Abstract: Soft tissue reconstruction in the lower limbs presents a significant challenge, particularly when addressing defects in the distal third of the leg, ankle, and foot. The reverse sural flap, reliant on the perforating branches of the peroneal artery, has emerged as a versatile option, offering a solution for patients for whom microsurgical...

Background Stomas present significant lifestyle and psychological challenges for patients, requiring comprehensive education and support. Current educational methods have limitations in offering relevant information to the patient, highlighting a potential role for artificial intelligence (AI). This study examined the utility of AI in enhancing sto...

The integration of artificial intelligence (AI) into plastic surgery is transforming the field by enhancing precision in preoperative planning, diagnostic accuracy, intraoperative assistance, and postoperative care. AI encompasses machine learning, natural language processing, computer vision, and artificial neural networks, each offering unique ad...

Background: Deep inferior epigastric perforator (DIEP) flap breast reconstruction is an increasingly popular technique, but controversy exists regarding the optimal use of closed suction drains (CSD) at the abdominal donor site. This narrative review synthesizes current evidence on CSD application, criteria for placement/removal, and complications...

Background/Objectives: Abdominoplasties are prevalent surgical procedures for improving lower abdominal contours, necessitating effective pain management. Insufficient management can increase opioid usage, dependency risks, and adverse effects. This review investigates various strategies in abdominoplasty pain management, aiming to reduce opioid de...

Citation: Seth, I.; Lim, B.; Phan, R.; Xie, Y.; Kenney, P.S.; Bukret, W.E.; Thomsen, J.B.; Cuomo, R.; Ross, R.J.; Ng, S.K.-H.; et al. Perforator Selection with Computed Tomography

Background: The regulatory landscape for plastic and cosmetic surgery across the country plays a crucial role in shaping the practices within its premises, ensuring patient safety, and maintaining ethical standards in the medical community. This review examines the distinct regulatory frameworks that govern Australia, United Kingdom (UK), and Italy...

Complex regional pain syndrome (CRPS) is a multifaceted condition characterized by chronic neuropathic pain, allodynia, and hyperalgesia. The incidence of CRPS postoperatively is alarmingly high, particularly following carpal tunnel surgeries, Dupuytren’s fasciectomy, and repairs of wrist and hand fractures, with recurrence rates soaring in individ...

The increasing adoption and widespread acceptance of negative pressure wound therapy (NPWT) have paralleled the expansion of its indications in clinical practice. The spectrum of indications for NPWT now extends to encompass soft tissue defects arising from trauma, infection, surgical wound care, and soft tissue grafting procedures. Recent advancem...

We appreciate Dr. Qi and Dr. Niu for their insightful comments on our study, "Exploring the Unknown: Evaluating ChatGPT’s Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation." Their observations underscore significant considerations in the application of artificial intelligence (AI) in plastic surg...

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 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...

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...

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 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...

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...

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...

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: 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...

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...

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 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...