Publications by authors named "Bryan Lim"

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 techniques are not feasible. Despite its advantages, the procedure carries inherent risks, especially in populations with underlying conditions, such as venous insufficiency, cardiovascular disease, and diabetes, as well as in elderly patients, where the likelihood of flap necrosis is elevated.

View Article and Find Full Text PDF

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 surgery and evaluate their effectiveness, challenges, and future potential.

View Article and Find Full Text PDF

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 stoma therapy management following colorectal surgery.

View Article and Find Full Text PDF

: 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 dependence and improve patient care.

View Article and Find Full Text PDF

: 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 in DIEP flap procedures. Alternative techniques and implications for postoperative care are also discussed.

View Article and Find Full Text PDF

Immunotherapy successfully complements traditional cancer treatment. However, primary and acquired resistance might limit efficacy. Reduced antigen presentation by MHC-I has been identified as potential resistance factor.

View Article and Find Full Text PDF

: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experienced plastic surgeons may have differing preferences for which side of the abdomen to use for unilateral breast reconstruction. Large language models (LLMs) have the potential to assist medical imaging interpretation. This study compares the perforator selection preferences of experienced plastic surgeons with four popular LLMs based on CTA images for breast reconstruction.

View Article and Find Full Text PDF

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 practices, focusing on the nuances that influence the professional accountability and safety measures in place.

Methods: A comprehensive scoping review was conducted, exploring the legal and regulatory frameworks governing plastic and reconstructive surgery in Australia, the UK, and Italy.

View Article and Find Full Text PDF

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 individuals with a history of CRPS. Despite extensive research, the management of CRPS remains complicated, highlighting the urgent need for effective prevention strategies.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF
Article Synopsis
  • This study investigates the intersection of primary localized cutaneous amyloidosis (PLCA) and basal cell carcinoma (BCC), highlighting the diagnostic challenges they pose when they occur simultaneously.
  • Two case studies revealed instances where lesions initially suspected to be BCC were diagnosed as PLCA upon further examination.
  • The findings stress the need for increased awareness of alternative diagnoses and call for more research on the systemic risks associated with amyloidosis and potential treatment options for both conditions.
View Article and Find Full Text PDF

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 potential for enhancing patient information.

View Article and Find Full Text PDF
Article Synopsis
  • AI can significantly improve preoperative planning for breast reconstruction by automating radiology reporting, particularly through interpreting computed tomography angiography (CTA) scans.
  • Four advanced large language models (LLMs)—ChatGPT-4, BARD, Perplexity, and BingAI—were evaluated for their ability to answer questions about CTA scans, with responses assessed by expert surgeons for accuracy and readability.
  • BingAI outperformed the others in accuracy and readability metrics, while the study suggests that despite current limitations, LLMs have the potential to enhance future CTA reporting and preoperative planning in surgical contexts.
View Article and Find Full Text PDF

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, Google Scholar, ClinicalTrials.

View Article and Find Full Text PDF
Article Synopsis
  • AI technologies are helping breast surgery by improving how doctors perform operations and how patients are treated.
  • Researchers looked at many studies using AI in breast surgery, examining its effects from before to after the surgery.
  • AI helps in predicting cancer risks, classifying tumors, and even assisting during surgery to make it safer and more effective.
View Article and Find Full Text PDF

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 ChatGPT's responses to a diverse range of plastic surgery-related inquiries was performed.

View Article and Find Full Text PDF

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 conducted in PubMed, Scopus, Web of Science, and the Cochrane Library, from the inception of the study to October 2023.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Melanoma cells, deriving from neuroectodermal melanocytes, may exploit the nervous system's immune privilege for growth. Here we show that nerve growth factor (NGF) has both melanoma cell intrinsic and extrinsic immunosuppressive functions. Autocrine NGF engages tropomyosin receptor kinase A (TrkA) on melanoma cells to desensitize interferon γ signaling, leading to T and natural killer cell exclusion.

View Article and Find Full Text PDF

Purpose: 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.

Methods: A series of 7 pertinent questions on field of general surgery was posed to ChatGPT.

View Article and Find Full Text PDF

Background: Babesia is a protozoal, tick-borne parasite that can cause life-threatening disease in humans, wildlife and domestic animals worldwide. However, in Southeast Asia, little is known about the prevalence and diversity of Babesia species present in wildlife and the tick vectors responsible for its transmission. Recently, a novel Babesia species was reported in confiscated Sunda pangolins (Manis javanica) in Thailand.

View Article and Find Full Text PDF

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 medical education. This study investigated the capacity of AI models, DALL-E 2, Midjourney, and Blue Willow, to generate realistic images pertinent to cosmetic surgery.

View Article and Find Full Text PDF

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, WA), and ChatGPT-3.

View Article and Find Full Text PDF

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 exposure during the post-pandemic era.

Research Questions/purpose: What is the potential of AI large language models in delivering safe and coherent medical advice to junior doctors for clinical orthopaedic scenarios?

Patients And Methods: A series of diverse orthopaedic questions was presented to ChatGPT-4, from general medicine to highly specialised fields.

View Article and Find Full Text PDF