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JNMA; Journal of the Nepal Medical... Dec 2023Spontaneous heterotopic pregnancy is a rare clinical condition which is a potentially dangerous condition where at least two pregnancies are present simultaneously at...
UNLABELLED
Spontaneous heterotopic pregnancy is a rare clinical condition which is a potentially dangerous condition where at least two pregnancies are present simultaneously at different implantation sites and only one is located in the intrauterine cavity. It is a life-threatening condition with an incidence estimated as 1 in 30,000 natural conceptions. Being rare it's challenging to diagnose such conditions due to complex clinical and laboratory findings. In view of the survival of maternal as well as intrauterine pregnancy, a high index of suspicion leading to timely diagnosis and appropriate intervention is needed. We are reporting a case of a 28-year-old female with heterotopic pregnancy at 8 weeks of gestation following natural conception diagnosed by ultrasound and managed successfully by laparoscopic salpingectomy. Intrauterine pregnancy was continued normally till term with no complications. Hence, with timely diagnosis and early intervention, maternal and fetal survival is possible.
KEYWORDS
case reports; ectopic pregnancy; laparoscopy; ultrasound.
Topics: Pregnancy; Female; Humans; Adult; Pregnancy, Heterotopic; Uterus; Salpingectomy; Ultrasonography; Laparoscopy
PubMed: 38289752
DOI: 10.31729/jnma.8374 -
Nature Communications Jan 2024Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance....
Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack precise, domain-specific explanations. Moreover, the impact of XAI methods on dermatologists' decisions has not yet been evaluated. Building upon previous research, we introduce an XAI system that provides precise and domain-specific explanations alongside its differential diagnoses of melanomas and nevi. Through a three-phase study, we assess its impact on dermatologists' diagnostic accuracy, diagnostic confidence, and trust in the XAI-support. Our results show strong alignment between XAI and dermatologist explanations. We also show that dermatologists' confidence in their diagnoses, and their trust in the support system significantly increase with XAI compared to conventional AI. This study highlights dermatologists' willingness to adopt such XAI systems, promoting future use in the clinic.
Topics: Humans; Trust; Artificial Intelligence; Dermatologists; Melanoma; Diagnosis, Differential
PubMed: 38225244
DOI: 10.1038/s41467-023-43095-4 -
Journal of Dental Education Dec 2023Dentin hypersensitivity (DH) affects patients' oral health-related quality of life, but is not always optimally treated in dental offices. The objectives were to assess...
OBJECTIVES
Dentin hypersensitivity (DH) affects patients' oral health-related quality of life, but is not always optimally treated in dental offices. The objectives were to assess dentists' DH-related education, knowledge, and professional behavior and explore relationships between education, knowledge, and behavior.
METHODS
Survey data were collected from 220 ADA members in the United States. Descriptive and correlational analyses were performed.
RESULTS
About half of the respondents agreed/strongly agreed that their dental school had educated them well about diagnosing DH in classroom-based (53.6%) and clinical settings (48.9%). Lower percentages agreed being well educated about treating DH (40.9%/37.3%). The majority self-educated themselves about DH after dental school by attending continuing education courses in person or online (60.6%/36.8%), reading articles (64.1%), or consulting with colleagues (59.6%). The majority knew that patients with DH describe their pain as stimulated (91.4%) and that recessed gingiva (89.6%), abrasion lesions (72.3%), tooth whitening (63.1%), erosion lesions (58.6%), and abfraction lesions (51.4%) are risk factors for DH. The majority diagnosed DH with patient self-reporting, confirmed by exams (81.8%), applying air blasts (53.7%), or cold-water (52.3%). They treated patients with DH often/very often with over-the-counter desensitizing agents (90%), and prescribing fluoride formulations toothpaste (82.8%) and/or potassium nitrate toothpastes (60.9%). In their offices, the majority (73.2%) educated their patients often/very often about DH and used fluoride dental varnish for treating DH (71.8%). The more recently respondents had graduated from dental school, the more positively they described their dental school education (r = 0.14; p < 0.05), the more ways to diagnose DH they used (r = 0.16; p < 0.05) and the more often they used fluoride dental varnish in their offices (r = 0.23; p < 0.001). The more dentists had educated themselves, the more methods for diagnosing DH they used (r = 0.23; p < 0.001) and the more often they used potassium oxalate products (r = 0.19; p < 0.01), Arginine/calcium products (r = 0.19; p < 0.01) and dentin bonding (r = 0.22; p < 0.001).
CONCLUSIONS
More recently graduating from dental school correlates with more positive evaluations of DH-related dental school education. The finding that most dentists engage in self-education about DH after dental school should motivate dental educators to increase education about this topic not only in dental school, but also in continuing education courses.
Topics: Humans; Fluorides; Dentin Sensitivity; Quality of Life; Educational Status; Toothpastes; Dentists; Treatment Outcome
PubMed: 37650366
DOI: 10.1002/jdd.13363 -
Ophthalmology and Therapy Dec 2023The purpose of this study was to evaluate the capabilities of large language models such as Chat Generative Pretrained Transformer (ChatGPT) to diagnose glaucoma based...
INTRODUCTION
The purpose of this study was to evaluate the capabilities of large language models such as Chat Generative Pretrained Transformer (ChatGPT) to diagnose glaucoma based on specific clinical case descriptions with comparison to the performance of senior ophthalmology resident trainees.
METHODS
We selected 11 cases with primary and secondary glaucoma from a publicly accessible online database of case reports. A total of four cases had primary glaucoma including open-angle, juvenile, normal-tension, and angle-closure glaucoma, while seven cases had secondary glaucoma including pseudo-exfoliation, pigment dispersion glaucoma, glaucomatocyclitic crisis, aphakic, neovascular, aqueous misdirection, and inflammatory glaucoma. We input the text of each case detail into ChatGPT and asked for provisional and differential diagnoses. We then presented the details of 11 cases to three senior ophthalmology residents and recorded their provisional and differential diagnoses. We finally evaluated the responses based on the correct diagnoses and evaluated agreements.
RESULTS
The provisional diagnosis based on ChatGPT was correct in eight out of 11 (72.7%) cases and three ophthalmology residents were correct in six (54.5%), eight (72.7%), and eight (72.7%) cases, respectively. The agreement between ChatGPT and the first, second, and third ophthalmology residents were 9, 7, and 7, respectively.
CONCLUSIONS
The accuracy of ChatGPT in diagnosing patients with primary and secondary glaucoma, using specific case examples, was similar or better than senior ophthalmology residents. With further development, ChatGPT may have the potential to be used in clinical care settings, such as primary care offices, for triaging and in eye care clinical practices to provide objective and quick diagnoses of patients with glaucoma.
PubMed: 37707707
DOI: 10.1007/s40123-023-00805-x -
Minerva Surgery Aug 2023Acute left colonic diverticulitis (ALCD) is a common clinical condition encountered by physicians in the emergency setting. Clinical presentation of ALCD ranges from... (Review)
Review
Acute left colonic diverticulitis (ALCD) is a common clinical condition encountered by physicians in the emergency setting. Clinical presentation of ALCD ranges from uncomplicated acute diverticulitis to diffuse fecal peritonitis. ALCD may be diagnosed based on clinical features alone, but imaging is necessary to differentiate uncomplicated from complicated forms. In fact, computed tomography scan of the abdomen and pelvis is the highest accurate radiological examination for diagnosing ALCD. Treatment depends on the clinical picture, the severity of patient's clinical condition and underlying comorbidities. Over the last few years, diagnosis and treatment algorithms have been debated and are currently evolving. The aim of this narrative review was to consider the main aspects of diagnosis and treatment of ALCD.
Topics: Humans; Diverticulitis, Colonic; Diverticulitis; Radiography; Tomography, X-Ray Computed
PubMed: 37021824
DOI: 10.23736/S2724-5691.23.09857-X -
Advanced Healthcare Materials May 2024Diagnosing and treating liver fibrosis is a challenging yet crucial endeavor due to its complex pathogenesis and risk of deteriorating into cirrhosis, liver failure, and...
Diagnosing and treating liver fibrosis is a challenging yet crucial endeavor due to its complex pathogenesis and risk of deteriorating into cirrhosis, liver failure, and even hepatic cancer. Herein, a silica cross-linked micelles (SCLMs) based nano-system is developed for both diagnosing and treating liver fibrosis. The SCLMs are first modified with peptide CTCE9908 (CT-SCLMs) and can actively target CXCR4, which is overexpressed in activated hepatic stellate cells (HSCs). To enable diagnosis, an ONOO-responded near-infrared fluorescent probe NOF2 is loaded into the CT-SCLMs. This nano-system can target the aHSCs and diagnose the liver fibrosis particularly in CCl-induced liver damage, by monitoring the reactive nitrogen species. Furthermore, a step is taken toward treatment by co-encapsulating two anti-fibrosis drugs, silibinin and sorafenib, within the CT-SCLMs. This combined approach results in a significant alleviation of liver injury. Symptoms associated with liver fibrosis, such as deposition of collagen, expression of hydroxyproline, and raised serological indicators show notable improvement. In summary, the CXCR4-targeted nano-system can serve as a promising theragnostic system of early warning and diagnosis for liver fibrosis, offering hope against progression of this serious liver condition.
Topics: Liver Cirrhosis; Hepatic Stellate Cells; Micelles; Animals; Nanomedicine; Humans; Receptors, CXCR4; Male; Early Diagnosis; Mice
PubMed: 38293743
DOI: 10.1002/adhm.202303710 -
Journal of the American Medical... Sep 2023Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of...
BACKGROUND
Incorporating artificial intelligence (AI) into clinics brings the risk of automation bias, which potentially misleads the clinician's decision-making. The purpose of this study was to propose a potential strategy to mitigate automation bias.
METHODS
This was a laboratory study with a randomized cross-over design. The diagnosis of anterior cruciate ligament (ACL) rupture, a common injury, on magnetic resonance imaging (MRI) was used as an example. Forty clinicians were invited to diagnose 200 ACLs with and without AI assistance. The AI's correcting and misleading (automation bias) effects on the clinicians' decision-making processes were analyzed. An ordinal logistic regression model was employed to predict the correcting and misleading probabilities of the AI. We further proposed an AI suppression strategy that retracted AI diagnoses with a higher misleading probability and provided AI diagnoses with a higher correcting probability.
RESULTS
The AI significantly increased clinicians' accuracy from 87.2%±13.1% to 96.4%±1.9% (P < .001). However, the clinicians' errors in the AI-assisted round were associated with automation bias, accounting for 45.5% of the total mistakes. The automation bias was found to affect clinicians of all levels of expertise. Using a logistic regression model, we identified an AI output zone with higher probability to generate misleading diagnoses. The proposed AI suppression strategy was estimated to decrease clinicians' automation bias by 41.7%.
CONCLUSION
Although AI improved clinicians' diagnostic performance, automation bias was a serious problem that should be addressed in clinical practice. The proposed AI suppression strategy is a practical method for decreasing automation bias.
Topics: Artificial Intelligence; Magnetic Resonance Imaging; Clinical Decision-Making; Humans; Anterior Cruciate Ligament Injuries; Diagnosis, Computer-Assisted
PubMed: 37561535
DOI: 10.1093/jamia/ocad118 -
The Journal of the Association of... Sep 2023Hyperglycemia occurring in pregnancy is a growing burden worldwide. It is now standard of care to screen all women during pregnancy, both to detect preexisting diabetes...
Hyperglycemia occurring in pregnancy is a growing burden worldwide. It is now standard of care to screen all women during pregnancy, both to detect preexisting diabetes as well as gestational diabetes mellitus (GDM). Traditionally, GDM was diagnosed at 24-28 weeks. However, with many international bodies recommending screening at first contact or booking, we are now diagnosing GDM earlier on in pregnancy. Based on the time of gestation at which it is diagnosed, GDM can be classified as conventional gestational diabetes mellitus (cGDM) or early gestational diabetes mellitus (eGDM). The cGDM is diagnosed between 24 and 28 weeks of gestation while eGDM is diagnosed in early pregnancy (<20 weeks). Till recently, there was little and conflicting evidence, on whether diagnosing and treating eGDM was beneficial or safe. The recent Treatment of BOoking Gestational diabetes Mellitus (ToBOGM) study, was a randomized control trial, showing clear benefits of diagnosing and treating eGDM. ToBOGM also showed that the best results were seen in those screened before 14 weeks of pregnancy and those in the higher band of glucose levels (FPG 95-109 mg/dL, 1-hour >191 mg/dL, and 2-hour glucose 162-199 mg/dL). In India, where the burden of hyperglycemia in pregnancy is high, the findings from the ToBOGM study further emphasize the need for screening for GDM at the time of first booking of the pregnancy followed by appropriate treatment for those detected to have eGDM. How to cite this article: Hannah W, Pradeepa R, Anjana RM, et al. Early Gestational Diabetes Mellitus: An Update. J Assoc Physicians India 2023;71(9):101-103.
Topics: Female; Humans; Pregnancy; Blood Glucose; Diabetes, Gestational; Early Diagnosis; Glucose Tolerance Test; India; Clinical Studies as Topic
PubMed: 38700309
DOI: 10.59556/japi.71.0351 -
International Wound Journal Jan 2024Necrotizing fasciitis is a clinical, surgical emergency characterized by an insidious onset, rapid progression, and a high mortality rate. The disease's mortality rate... (Review)
Review
Necrotizing fasciitis is a clinical, surgical emergency characterized by an insidious onset, rapid progression, and a high mortality rate. The disease's mortality rate has remained high for many years, mainly because of its atypical clinical presentation, which prevents many cases from being diagnosed early and accurately, resulting in patients who may die from uncontrollable septic shock and multi-organ failure. But unfortunately, no diagnostic indicator can provide a certain early diagnosis of NF, and clinical judgement of NF is still based on the results of various ancillary tests combined with the patient's medical history, clinical manifestations, and the physician's experience. This review provides a brief overview of the epidemiological features of NF and then discusses the most important laboratory indicators and scoring systems currently employed to diagnose NF. Finally, the latest progress of several imaging techniques in the early diagnosis of NF and their combined application with other diagnostic indices are highlighted. We point out promising research directions based on an objective evaluation of the advantages and shortcomings of different methods, which provide a basis for further improving the early diagnosis of NF.
Topics: Humans; Fasciitis, Necrotizing; Shock, Septic; Early Diagnosis; Retrospective Studies
PubMed: 37679292
DOI: 10.1111/iwj.14379 -
International Journal of Molecular... Sep 2023Bladder cancer is one of the most financially burdensome cancers globally, from its diagnostic to its terminal stages. The impact it imposes on patients and the medical... (Review)
Review
Bladder cancer is one of the most financially burdensome cancers globally, from its diagnostic to its terminal stages. The impact it imposes on patients and the medical community is substantial, exacerbated by the absence of disease-specific characteristics and limited disease-free spans. Frequent recurrences, impacting nearly half of the diagnosed population, require frequent and invasive monitoring. Given the advancing comprehension of its etiology and attributes, bladder cancer is an appealing candidate for screening strategies. Cystoscopy is the current gold standard for bladder cancer detection, but it is invasive and has the potential for undesired complications and elevated costs. Although urine cytology is a supplementary tool in select instances, its efficacy is limited due to its restricted sensitivity, mainly when targeting low-grade tumors. Although most of these assays exhibit higher sensitivity than urine cytology, clinical guidelines do not currently incorporate them. Consequently, it is necessary to explore novel screening assays to identify distinctive alterations exclusive to bladder cancer. Thus, integrating potential molecular assays requires further investigation through more extensive validation studies. Within this article, we offer a comprehensive overview of the critical features of bladder cancer while conducting a thorough analysis of the FDA-approved assays designed to diagnose and monitor its recurrences.
Topics: Humans; Early Detection of Cancer; Urinary Bladder Neoplasms; Urinary Bladder; Biological Assay; Biomarkers
PubMed: 37762677
DOI: 10.3390/ijms241814374