Cervical cancer is known as a major health problem globally, with high mortality as well as incidence rates. Over the years, there have been significant advancements in cervical cancer detection techniques, leading to improved accuracy, sensitivity, and specificity. This article provides a chronological review of cervical cancer detection techniques, from the traditional Pap smear test to the latest computer-aided detection (CAD) systems. The traditional method for cervical cancer screening is the Pap smear test. It consists of examining cervical cells under a microscope for abnormalities. However, this method is subjective and may miss precancerous lesions, leading to false negatives and a delayed diagnosis. Therefore, a growing interest has been in shown developing CAD methods to enhance cervical cancer screening. However, the effectiveness and reliability of CAD systems are still being evaluated. A systematic review of the literature was performed using the Scopus database to identify relevant studies on cervical cancer detection techniques published between 1996 and 2022. The search terms used included “(cervix OR cervical) AND (cancer OR tumor) AND (detect* OR diagnosis)”. Studies were included if they reported on the development or evaluation of cervical cancer detection techniques, including traditional methods and CAD systems. The results of the review showed that CAD technology for cervical cancer detection has come a long way since it was introduced in the 1990s. Early CAD systems utilized image processing and pattern recognition techniques to analyze digital images of cervical cells, with limited success due to low sensitivity and specificity. In the early 2000s, machine learning (ML) algorithms were introduced to the CAD field for cervical cancer detection, allowing for more accurate and automated analysis of digital images of cervical cells. ML-based CAD systems have shown promise in several studies, with improved sensitivity and specificity reported compared to traditional screening methods. In summary, this chronological review of cervical cancer detection techniques highlights the significant advancements made in this field over the past few decades. ML-based CAD systems have shown promise for improving the accuracy and sensitivity of cervical cancer detection. The Hybrid Intelligent System for Cervical Cancer Diagnosis (HISCCD) and the Automated Cervical Screening System (ACSS) are two of the most promising CAD systems. Still, deeper validation and research are required before being broadly accepted. Continued innovation and collaboration in this field may help enhance cervical cancer detection as well as ultimately reduce the disease’s burden on women worldwide.

Adverse events following immunization (AEFI) or vaccine injury is an issue of great concern in many nations, including Malaysia. This issue has long attracted the public's interest, but the emergence of COVID-19 disease has triggered greater interest as nations engaged in mass vaccination programs for their citizens. This is further exacerbated by the growing dissatisfaction with the traditional tort litigation system which necessitates exploring alternative ways to deal with vaccine injury cases. While the vaccine injury compensation program (VICP) has been implemented in several countries to compensate affected individuals following vaccination, not all VICP can cater to public health emergencies, especially regarding vaccine COVID-19. Malaysia, for example, has a similar program known as Special Financial Assistance Vaccine (SFA), which allows individuals to receive financial assistance if they suffer from AEFI COVID-19. Thus, this paper is intended to review and analyse the VICP in Southeast Asian countries and its implementation in Malaysia. This qualitative research was based on document review and comparative methodologies by exploring the VICP in Southeast Asia and similar mechanism in Malaysia to enrich the subject matter of the vaccine COVID-19 liability. The finding shows that the VICP program seems to be a great alternative in dealing with vaccine injury cases, especially in addressing the growing dissatisfaction with the traditional tort litigation system. Malaysia, Singapore and Thailand has its own VICP for affected individuals with COVID-19 vaccines while Myanmar, Cambodia, Timor-Leste, Indonesia, Vietnam, and the Philippines is under COVID-19 vaccine injury compensation scheme by COVID-19 Vaccines Global Access (COVAX) offered in 92 low- and middle-income nations.