Biofilm production by pathogenic bacteria and fungi presents a major challenge in clinical settings, especially when it comes to medical implants—such as catheters, prosthetic joints, and heart valves. Biofilm-related infections are associated with persistent infections, antibiotic resistance, and device failure, leading to extended hospital stays and increased healthcare costs. This study evaluates three common biofilm detection methods—Tissue Culture Plate (TCP), Tube Method (TM), and Congo Red Agar (CRA)—to assess their efficacy in identifying biofilm-producing microorganisms and their relevance for biomedical applications. The TCP method, regarded as the gold standard, provided quantitative results and effectively identified biofilm producers. The TM and CRA methods also demonstrated the ability to distinguish between varying levels of biofilm production in a qualitative manner. While the CRA method was less sensitive than TCP, it still showed the important shifts in biofilm production across different strains of microbes. These findings emphasize the need for accurate biofilm detection in the development of biomedical materials and devices, such as antimicrobial coatings and implantable prosthetics. Selecting an appropriate detection method can enhance device. Early biofilm detection is important for guiding preventive strategies and improving treatment outcomes in clinical settings, and being that biofilm infections are challenging to treat—approaches like nanoparticle therapies, antimicrobial coatings, and bacteriophage treatments show great promise especially with nanomaterials, which can enhance antibiotic efficacy and serve as drug carriers. While current biofilm detection methods have laid a strong foundation, additional enhancements and further research will overcome the limitations these methods have.