Diagnostic Software Research Articles

Legal and ethical considerations of artificial intelligence in skin cancer diagnosis.

Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets across the world posing new legal and ethical challenges for both clinicians and software companies. Australia has the highest rates of skin cancer in the world and is poised to be a significant benefactor and pioneer of the technology. This review describes the legal and ethical considerations raised by the emergence of artificial intelligence in skin cancer diagnosis and proposes recommendations for best practice.

Demands Analysis on Diagnosis of Nuclear Accident Emergency Status of Chinese Nuclear-Powered Surface Ship

Emergency status classification can reasonably define the emergency response requirements of various emergencies caused by nuclear accidents, to win more time for the adequate but not excessive emergency response. This paper presents the demands on classification matrix and the diagnostic software development with this classification matrix for the diagnosis of nuclear accident emergency status of Chinese nuclear-powered surface ship, through the improvement of a whole set of classification matrix of Unit 1 and Unit 2 in Qinshan No.2 Nuclear Power Plan which represents the overall level of emergency classification technology in China. Firstly, through the establishment of constraints, the classification matrix with strong standardization and logic is developed, especially the ordering of matrixes and their components; and secondly, through the establishment of multi-entry logic tree and user-friendly interface, the diagnosis software with fast diagnosis function is developed, especially the layering of logic trees and the composition of interfaces.

Preference and Demand for Digital Pathology and Computer-Aided Diagnosis among Korean Pathologists: A Survey Study Focused on Prostate Needle Biopsy

Digital pathology systems (DPSs) have been globally implemented, and computer-assisted diagnosis (CAD) software has been actively developed in recent years. This study aimed to investigate perceptions of digital pathology and the demand for CAD. An online survey involving members of the Korean Society of Pathologists was conducted, and a demonstration clip of the diagnostic assistant software for a prostate needle biopsy was shown to them to provide a simple experience with CAD. One hundred sixty-four Korean pathologists (13.6% of 1210 Korean pathologists) participated. The majority (77.4%) answered affirmatively regarding the necessity of implementing a DPS, and 26.8% had plans to implement or increase the use of DPSs in the following 2–3 years at their medical institutions. Pathologists felt that multidisciplinary care or conference accessibility (56.7%), remote consultation (49.4%), and big data building (32.9%) were useful parts of DPSs. Most pathologists (81.7%) responded that CAD software would assist with the diagnostic process. In a prostate needle biopsy, pathologists used the software to improve the measurement of tumor volume and/or length and core length but not to suggest a diagnostic name or Gleason grade. Korean pathologists who participated in the survey had highly positive perceptions of digital pathology and maintained a positive attitude toward the use of CAD software.

By artificial intelligence algorithms and machine learning models to diagnosis cancer

Cancer is one of the world's most critical health issues. Many in the past decade More accurately, diagnostic tests and methodologies have been enhanced. Tests are categorised into imaging tests, endoscopic procedures Includes testing for biopsy and cytology. These diagnostic tests yield huge numbers. volumes of data that must be evaluated and differentiated by specialists Between tumours that are benign and malignant. Artificial intelligence now (AI) Large quantities of diagnostic imaging may be examined using applications Improved accuracy to enhance health system efficiency. New AI algorithms technical advances and computer enhancements Hardware may be used to train diagnostic neural artificial networks Experience with a wide range of scans. Already a thorough understanding and Machines can educate computers to compare and assess models Huge quantity of cancer scanning data. Highly diagnostic skills Software has been evaluated and compared to the conventional Cancer specialists' diagnostic tools. Their precision is much increased and regarded highly effective in early diagnosis and extended forecasting Different cancers. Scientists have become systems of artificial intelligence (AI). that may exceed human specialists in the prognosis of breast cancer and A great deal earlier diagnosis. Similarly, informatics developed an AI algorithm. and profound learning algorithms that may forecast to which persons Develop lung cancer using low dose CT analysis (computerized tomography) Lung scans. Lung scans. Use of the convolutionary neural network recently (CNNs) was employed in the invasion depth diagnosis of Gastric endoscopy-based gastric cancer. Studies have also been shown AI techniques paired with imagery may have a significant influence early diagnosis with algorithm-guided identification of oral cancer results Heterogeneity of the oral lesion. This review gathered some pretty interesting information Research publications on the topic.

Hepatitis C Diagnosis: Simplified Solutions, Predictive Barriers, and Future Promises.

The simplification of current hepatitis C diagnostic algorithms and the emergence of digital diagnostic devices will be very crucial to achieving the WHO’s set goals of hepatitis C diagnosis (i.e., 90%) by 2030. From the last decade, hepatitis C diagnosis has been revolutionized by the advent and approval of state-of-the-art HCV diagnostic platforms which have been efficiently implemented in high-risk HCV populations in developed nations as well as in some low-to-middle income countries (LMICs) to identify millions of undiagnosed hepatitis C-infected individuals. Point-of-care (POC) rapid diagnostic tests (RDTs; POC-RDTs), RNA reflex testing, hepatitis C self-test assays, and dried blood spot (DBS) sample analysis have been proven their diagnostic worth in real-world clinical experiences both at centralized and decentralized diagnostic settings, in mass hepatitis C screening campaigns, and hard-to-reach aboriginal hepatitis C populations in remote areas. The present review article overviews the significance of current and emerging hepatitis C diagnostic packages to subvert the public health care burden of this ‘silent epidemic’ worldwide. We also highlight the challenges that remain to be met about the affordability, accessibility, and health system-related barriers to overcome while modulating the hepatitis C care cascade to adopt a ‘test and treat’ strategy for every hepatitis C-affected individual. We also elaborate some key measures and strategies in terms of policy and progress to be part of hepatitis C care plans to effectively link diagnosis to care cascade for rapid treatment uptake and, consequently, hepatitis C cure.

Long-term outcomes of PRK, LASIK and SMILE

Patients and refractive surgeons have alegitimate interest in the long-term results of the most commonly used laser procedures for correction of ametropia. To assess the safety, predictability, stability and late complications according to the current recommendations of the committee for refractive surgery (KRC). Literature search in PubMed with the search term "long-term outcome" combined with either "PRK", "LASIK" or "SMILE". Articles about PRK and LASIK with aminimum follow-up of 10years and SMILE with aminimum follow-up of 5years were evaluated and duplications were eliminated. From atotal of 440 articles that matched these search terms 15articles were selected and analyzed. The results of PRK were described in 4 studies with atotal of 666 eyes, 7 studies (566 eyes) described the results of LASIK and 5 studies (188 eyes) the results after SMILE. Long-term studies with follow-up periods of at least 10 years have shown that PRK and LASIK treatment carried out in the early days of medical excimer lasers have avery high level of safety and late complications occurred only rarely. The effectiveness of particularly high corrections declined over time. In contrast, there was no clinically significant regression within the indications recommended by the KRC. The results of SMILE were not inferior to those of PRK and LASIK. In direct long-term comparisons no procedure showed aclear superiority. Due to technological improvements in hardware and software for both preoperative diagnostics and lasers, treatment performed nowadays is presumably even safer, more efficient and also more stable over along period of time.

Structural model for formation of packages of clinical and diagnostic tests to organize personalized medical care for patients with malignant tumors of the prostate gland

BACKGROUND: Prostate carcinoma is a serious social and economic problem; it ranks second among the most frequently diagnosed malignant tumors worldwide and it ranks sixth in the structure of causes of death from cancer in men. The correct organization of prevention and screening as well as the use of the latest methods of clinical instrumental and molecular analysis at all stages of treatment and diagnostic process can fundamentally improve the outcomes of the disease.
 AIM: This study aimed to analyze of the best international experience in the development of basic clinical and instrumental test packages that determine the personalized choice of medical prescriptions for the treatment and diagnostic process of prostate cancer.
 METHODS: The study included papers published after January 1, 2008, with an emphasis on the analysis of results posted in the last 2 years in the PubMed/Medline electronic database as reliable sources of information.
 RESULTS AND DISCUSSION: This study explored the basic structural model of the formation of clinical and diagnostic packages at the implementation of a personalized treatment and diagnostic process in prostate cancer. The main biomarkers of prostate cancer used in clinical practice have been identified, and the informative value of the newest biomarker tests has been established. Diagnostic tools that are ready for wider implementation in oncological practice are predictive models, such as the 4K algorithm, Score, SelectMDx, Stockholm-3 model, justifying the need to perform a prostate biopsy in a particular patient. Some promising biomarker characteristics of prostate cancer, assessed at the nonclinical, experimental stage, have been demonstrated.
 CONCLUSIONS: This study found that (1) Revision of the algorithms for personalized treatment is becoming an important element in the provision of patient-oriented cancer care. (2) Periodic reassessment of the individual portrait of the tumor process is necessary for the correct organization of treatment and diagnostic measures in a particular patient. (3) Finally, for the implementation of the whole range of possibilities of individual treatment, close interaction with the representatives of various medical specialties in the framework of the implementation of translational medicine programs in oncologyis important.

Estimation of influence of the metrology and diagnostic providing on technical service on the state communication means

The purpose of the article is to quantify the impact of the quality of metrological and diagnostic software on the formation of the sequence and limit the number of inspections during maintenance of complex electronic systems, including modern means of communication with digital information processing. As a result of the analysis of the existing system of maintenance the advantages of service of products on a condition are established. In this case, to determine the sequence of inspections do not fully take into account the properties of metrological and diagnostic software. Results of the research. In the article the quantitative estimation of influence of the metrology and diagnostic providing is first considered and got on the indexes of quality of technical maintenance of communication means. It is shown that most influence in a time of implementation of technical service and probability of determination here of the technical state render the diagnostic providing of works with the use of the modern metrology providing. It is also shown that on the value of indexes of quality of technical service preparation of specialists and technological equipment of repair organ influence substantially, abilities of performers in full to use possibilities of modern facilities of measuring technique. Conclusion. The got results it is expedient to draw on at the improvement of existing or creation of new instructions of technical service on the state perspective communication or other difficult wares of the radio electronic systems means.

Дослідження діагностичних моделей радіоелектронних засобів

A comprehensive indicator of the reliability of electronic means - the coefficient of readiness, significantly depends on the average recovery time. At the same time, the largest labor costs are spent by repair specialists on finding a faulty element. Diagnostic repair support depends on the models used in the development of defect detection algorithms. The most common use of diag-nostic models is in the form of a graph of information and energy connections, which consists of three types of structures: sequential connection of elements, converging and diverging. The latter did not receive the necessary research. In the article as a result of research of influence of the form of the graph of information and power communications on indicators of quality of di-agnostic maintenance of radio electronic means analytical dependences of an estimation of deviation of the diagnosis at an expert error for converging and diverging structures are received for the first time. This allows to improve the quality of diagnostic software and to minimize di-agnostic errors when using current repairs by the aggregate method by assessing the impact of controlled variables at the stage of creating algorithms for finding defects. It is expedient to use the received results at improvement of diagnostic maintenance of existing radio electronic means and its development for perspective samples for the purpose of increase of quality of current repair irrespective of structure of a product.

Design and implementation of a portable diagnostic system for Thomson scattering and optical emission spectroscopy measurements.

A diagnostic system, which has a design goal of high-portability, has been designed at Oak Ridge National Laboratory (ORNL). This project aims at providing measurements of key plasma parameters (ne, Te, ni, Ti) for fusion-relevant devices, utilizing Thomson scattering (TS) and optical emission spectroscopy (OES). The innovative design employs mostly commercial off-the-shelf instrumentation and a traveling team of researchers to conduct measurements at various magnetic-confinement plasma devices. The TS diagnostic uses a Quantel Q-smart 1500 Nd:YAG laser with a 2ω harmonic generator to produce up to 850 mJ of 532nm laser pulses at 10Hz. Collection optics placed at the detection port consists of an 11 × 3 optical fiber bundle, where the TS diagnostic uses an 11 × 1 subset array of the fibers, the OES diagnostic uses another 11 fibers, and the remaining fibers are available to the host institution. The detection system is comprised of two separate IsoPlane-320 spectrometers with triple-grating turrets of various line spacing and two PI-MAX 4 intensified CCD detectors, used simultaneously to measure a broad range of ion, impurity, and electron parameters. The self-contained diagnostic package also includes a data processing and storage system. The design and initial implementation of the TS-OES diagnostic system are described. The experiments from the proof-of-principle operation of the portable package on a high density (∼2.5 × 1022m-3) and low-temperature (∼5eV) electrothermal arc source at ORNL are also discussed.

Assessment of the influence of diagnostic support on reliability of radio electronic systems

Currently, there is a trend of digital information processing in electronic weapons systems and military equipment. Software-controlled means of communication are being implemented. This requires new approaches in diagnosing them during maintenance, which are significantly different from the process of finding defects in analog tools. Particular attention is paid to the introduction of modern advances in technical diagnostics and metrology. The possibility of using special methods for assessing the technical condition of digital devices (energy-static, energy-dynamic, electromagnetic), both separately and in combination. This slightly increases the average recovery time, but significantly affects the achievement of the required value of a comprehensive indicator of product reliability - its readiness factor. For the first time, the possibility of classifying electronic systems as "absolutely reliable" due to the peculiarities of metrological and diagnostic software is considered. The influence of controlled variables on the value of the product readiness factor is investigated. Depending on the operating conditions of the repair body, the permissible values for the qualification of specialists (average time of inspection and troubleshooting), as well as for the metrological reliability of measuring equipment are justified. According to the results of research, an algorithm for providing the necessary values of reliability indicators of products, both during their design and during operation and recovery in military conditions. It is shown that the greatest influence on the value of the reliability of products has the training of specialists of the repair body, their ability to fully use the capabilities of modern measuring equipment. The article considers the possibility of using methods for diagnosing digital electronic systems and provides an assessment of the quality of diagnostic software for the reliability of systems as a whole.

Model‐based validation of diagnostic software with application in automotive systems

Software validation aims to ensure that a particular software product fulfils its intended purpose, and needs to be performed against both software requirement as well as its implementation (i.e. product). However, for diagnostic software (i.e. a diagnoser) performing online diagnosis against certain fault models and reports diagnosis decision, the underlying fault models are usually not explicitly specified, neither by formal language nor by descriptive language. The lack of formal representation of fault models leaves the intended purpose of the diagnostic software vague, making its validation difficult. To address this issue, the authors propose various model-based techniques that can generate concrete examples of the diagnoser's key properties. Such examples are represented in an intuitive and possibly visualised way, facilitating the designers/users to approve or disapprove the conformance of the diagnoser to the intended purpose. The proposed techniques work for validation of both the requirement and implementation that can be modelled as finite state machine, and are illustrated through applications on vehicle on-board diagnostic requirement.

Image processing and machine learning for telehealth craniosynostosis screening in newborns.

The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic software system for identifying craniosynostosis within a newborn (< 1 year old) population. Agreement with gold standard craniometric diagnostics was also assessed. Cranial shape classification software accuracy was compared to that of blinded craniofacial specialists using a data set of open-source (n = 40) and retrospectively collected newborn orthogonal top-down cranial images, with or without additional facial views (n = 339), culled between April 1, 2008, and February 29, 2020. Based on image quality, midface visibility, and visibility of the cranial equator, 351 image sets were deemed acceptable. Accuracy, sensitivity, and specificity were calculated for the software versus specialist classification. Software agreement with optical craniometrics was assessed with intraclass correlation coefficients. The cranial shape classification software had an accuracy of 93.3% (95% CI 86.8-98.8; p < 0.001), with a sensitivity of 92.0% and specificity of 94.3%. Intraclass correlation coefficients for measurements of the cephalic index and cranial vault asymmetry index compared to optical measurements were 0.95 (95% CI 0.84-0.98; p < 0.001) and 0.67 (95% CI 0.24-0.88; p = 0.003), respectively. These results support the use of image processing-based neonatal cranial deformity classification software for remote screening of nonsyndromic craniosynostosis in a newborn population and as a substitute for optical scanner- or CT-based craniometrics. This work has implications that suggest the potential for the development of software for a mobile platform that would allow for screening by telemedicine or in a primary care setting.

Risk Assessment of Computer-Aided Diagnostic Software for Hepatic Resection

In this article, we study the indirect relationship between the adoption of computer-aided detection or diagnostic (CADe or CADx) systems for hepatic resection (HR) and the patient’s health post-surgery. We vary the number, actual size, and the estimated size of tumors along with model parameters of tumor growth over 1000 simulations of HR according to predefined statistical distributions of parameter values. The average time ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula> ) taken by the tumors to relapse is assessed for the nonadoption of computer-aided detection or diagnostic (CAD) (case 1), the adoption of semiautomatic CAD (case 2), and the adoption of automatic CAD (case 3) in HR. In this study, we have simulated 126 automatic CAD algorithms (case 3). For tumor volumes (TV) less than 50 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , if administration of bevacizumab, a post-operative therapy, is (not) adopted in the simulation, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula> is found to be 646, 84, and 60 days (40, 24, and 17 days) for case 1, case 2, and case 3, respectively. For TV greater than 50 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , and with (without) bevacizumab, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula> is found to be 86, 1, and 6 days (28, 6, and 3 days) for case 1, case 2, and case 3, respectively. For with (without) bevacizumab treatment and for all tumor volumes, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula> is found to be 260, 90, and 104 days (38, 13, and 11 days) for case 1, case 2, and case 3, respectively. We have observed that the tumors relapsed quickly in those cases where CAD was adopted.

RETRACTED ARTICLE: Artificial intelligence for a bio-sensored detection of tuberculosis

The advancement and well-evolved technology in international clinical discipline, tuberculosis remains a major health hazard. To resolve the hassle of tuberculosis, synthetic artificial intelligence (AI) affords the manner for solving trouble in actual global and enlightens the sector in bringing a human’s mind to a gadget. This paper targets to discover the presence of Mycobacterium tuberculosis infection within a brief span of time as compared to historical technique. it is designed in this type of way that the breath of the inflamed man or woman may be used to diagnose the sickness at premiere stage. The main goal is to design and implement a portable diagnostic package for Tuberculosis the use of Neural Networks and synthetic Intelligence. The device package known as digital nose that is enormous synthetic sensible element built through neural network consists of a biosensor having an electrode lined with the galectin. The indicators of hybridization on binding can be captured and processed with the aid of system gaining knowledge of sensor and the output is displayed the use of artificial intelligence. Feed-ahead back propagation neural community is used as a classifier to distinguish between inflamed or non-infected man and woman. In advance case of analysis approached on the basis of grouping microorganism’s days together. However this observe quicker to find the document in an hour. Therefore, the time taken for diagnosing the presence of the bacterium may be decreased and this additionally paves the manner for starting the remedy right now with ease.

The Influence of Biofeedback in Postural Rehabilitation of Athletes

"ABSTRACT. Background. A balanced posture allows sports movements PERFORMANCE with optimal consumption of energy and minimal stress on the musculoskeletal system with of the technology offered by the posturograph, we can identify the center of gravity deviations, the points of support, the load, the weight distribution in the soles, the anterior posteriorized or compressed posture, the asymmetries of the body. by an interpretation in biomechanical context, any compensations or decompensations can be identified. Aim. The aim of the study is to improve posture through biofeedback treatment using the GPS 600 device. Materials. The Posturograph or Global Postural System (GPS) is an advanced postural analysis system that uses techniques and methods of noninvasive diagnosis and evaluation in the field of medical recovery. Posturography includes 2 diagnostic units and software. Methods. We used the following methods: bibliographic study methods, method of observation, measurement method, experimental method, statistical method. Applied treatments. The treatments for re-educating the posture with the GPS 600 device took place for 2 weeks. During the treatment, the subjects had to maintain their body position / posture as indicated by the device. Results. From the 12 athletes, the anteriority of the head improved, the center of gravity, loading on the right and left lower limbs. At the end of the 2 weeks, the athletes reached a perfect balance of the center of gravity and the weight distribution on the lower limbs. Conclusion. Biofeedback treatments with the GPS 600 device help to improve POSTURE and maintain the results over time."

Diagnostic software proposal for bone scan follow-up using false color based on the gammagrams analysis from gray tone histograms

In this work we introduce a technique to speed up the interpretation of bone scans with the aim of determining the presence or absence of metastatic disease. We use gray tone histograms, resembling the use of band-pass filters, in order to ensure a reliable interpretation of the bone scan, therefore providing an accurate diagnosis. We draw particular attention to three cases. The first case corresponds to shifted histograms. If the histogram is shifted toward the origin, the bone scan is free of metastasis. If it is shifted to the right and slightly broadened, this indicates the presence of a bone scan anomaly other than metastasis. On the other hand, if the histogram is broadened and shifted to the left, this suggests the presence of metastatic disease. The second case corresponds to a histogram with noticeable fluctuations, indicating the presence of metastasis. Such fluctuations could become local maxima peaks, indicating the advance of the metastasis. The third case corresponds to the false color results, displayed in terms of the gray tones, observed in the histogram. Such false color is assigned from the construction of a 7-color palette and is selected in terms of the gray tones range. This eases the ad hoc false color assignation for visualization purposes. The final diagnosis is carried out in terms of the color, geometry, extension, and location of the region of interest in the images. Our proposed technique has the potential to be used in high-demand oncology centers due to its simplicity and diagnostic efficiency, confirmed and tested by specialists in the Centro Medico Siglo XXI (XXI Century Medical Center), CDMX-México.

Improving the accuracy of ICD-10 coding of morbidity/mortality data through the introduction of an electronic diagnostic terminology tool at the general hospitals in Lagos, Nigeria

BackgroundReliable information which can only be derived from accurate data is crucial to the success of the health system. Since encoded data on diagnoses and procedures are put to a...

Evaluation of apical root resorption occurrence in orthodontic patients treated with fixed braces depending on selected clinical parameters

Abstract An aim of the work was analysis of the possible connections between the selected clinical parameters and external apical root resorption (EARR) in patients after orthodontic treatment. The study comprised 101 persons, who underwent complex orthodontic treatment with the use of fixed braces (straight-arch technique). The teeth chosen for measurement of resorption level were central and lateral incisors of mandible and maxilla, as well as maxillary first molars, which are the most susceptible to root resorption. The roots were measured on the basis of the dental radiographs taken before and at the end of treatment. The measurements were made on digital radiographs with the use of diagnostic software (Planmeca Romexis® Viewer), which allows the image filters ensure the highest precision when localizing roots end points. Proportional measurements of the chosen teeth were made with the use of Linge’s method and Linge’s method modified by Brezniak et al. For further analysis, the persons taking part in the study were divided into two groups depending on the presence of postorthodontic EARR or its lack, resulting from radiographic measurements: a control group comprising 61 patients without EARR (with 0.90 ≤ rRCR ≤ 1.00) and a study group including 40 patients with EARR (rRCR &lt; 0.90). In statistical analysis there was used verification of statistical hypotheses based on the following tests: Pearson’s chi-squared test, Student’s t-test, Mann-Whitney U test. On the basis of the made analyses and achieved results, it was found out that age, sex, type of skeletal malocclusion, increased overjet and overbite do not constitute risk factors for EARR occurrence. Excessive proclination of central and lateral incisors of mandible and maxilla predisposes to shortening the roots of these teeth during orthodontic treatment with fixed braces (p &lt; 0.01).

Design and development of analysis software for acid-base balance disorder based on Visual Basic.NET

To develop a diagnostic analysis software for determining the type of acid-base balance disorder. Mathematical models were built based on Henderson-Hasselbalch equations and compensation formulas, to determine the important parameters of acid-base balance disorder, and to develope acid-base balance disorder analysis process. The software was compiled using the Visual Basic.NET programming language, and the installation package was generated after debugging. Acid-base balance disorder cases were searched by PubMed, Wanfang and CNKI databases from 1980 to 2015, and the blood gas parameters [pH, arterial partial pressure of carbon dioxide (PaCO2), HCO3- and anion gap (AG)] and the types of acid-base imbalance (literature results) were recorded. All cases were reanalyzed by software and the type of acid-base balance disorder was determined (software diagnostic type). Kappa-test and McNemar-test were performed for the two diagnostic results. The "four parameters-four steps" analysis method was used as the analysis process to judge the types of acid-base balance disorder. "Four parameters" included pH, PaCO2, HCO3- and AG. "Four steps" were outlined by following aspects: (1) according to the pH, combined with PaCO2 and HCO3-, the primary types of acid-base balance disorder was determined; (2) according to the compensation situation, double mixed acid-base balance disorder (DABD) was determined; (3) according to AG value, three mixed acid-base disorders (TABD) were determined; (4) the ratio of ΔAG ↑ /ΔHCO3- ↓ was also calculated to determine whether there was normal AG metabolic acidosis or metabolic alkalosis. The software had the characteristics of simple interface, convenient operation, rapid judgment, and comprehensive analysis. It could judge all acid-base balance disorder types excepted "AG normal metabolic acidosis combined metabolic alkalosis". The software was used to reanalyze 112 cases of acid-base balance disorder reported in the literature, with a consistent rate of 87.50% and better consistency of the diagnostic results (Kappa test: κ = 0.84, P < 0.01; McNemar test: χ2 = 0.87, P = 0.65). The software can be used as an important tool to judge the type of acid-base balance disorder, and provide clinicians with diagnostic reference, which have practical value and application prospect.