The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence by Anthony E. Davis

“…Part I briefly describes some of the ways AI is already in use in ordinary life - from facial recognition, through medical diagnosis to translation services. Part II describes how AI is transforming what it means to provide legal services in six primary areas: litigation review; expertise automation; legal research; contract analytics; contract and litigation document generation; and predictive analytics. …”
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An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging by Leila Honari mahmod, Rahil Hosseini, Mahd Mazinani

“…Intelligent assistant systems have been focused in many researches for managing uncertainties in medical diagnosis in the recent years. Due to vagueness in diagnosis of Breast cancer stages which is one of the major cause of death in women, early diagnosis of stages of this cancer can help physicians to choose the best treatment option. …”
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Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network by Seiya Tsuda, Yuji Iwahori, M. K. Bhuyan, Robert J. Woodham, Kunio Kasugai

“…Medical diagnosis judges the status of polyp from the size and the 3D shape of the polyp from its medical endoscope image. …”
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A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost by Raj Joseph Kiran, J. Sanil, S. Asharaf

“…Abstract The success of machine learning in real-world use cases has increased its demand in mission-critical applications such as autonomous vehicles, healthcare and medical diagnosis, aviation and flight safety, natural disaster prediction, early warning systems, etc. …”
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Some Novel Cosine Similarity Measures Based on Complex Hesitant Fuzzy Sets and Their Applications by Ronnason Chinram, Tahir Mahmood, Ubaid Ur Rehman, Zeeshan Ali, Aiyared Iampan

“…Moreover, we use our described SMs and weighted SMs of CHFS in the environment of medical diagnosis and pattern recognition to assess the practicality and competence of the described SMs. …”
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SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…The accuracy of medical diagnosis is greatly affected by the quality of MRI images. …”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…The versatility of this model is illustrated through its application to critical domains such as medical diagnosis, resource-constrained natural language processing, and financial forecasting—areas where data scarcity impedes the efficacy of traditional models. …”
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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

“…Advancements in medical diagnosis using artificial intelligence have popularised transfer learning among researchers in machine learning and deep learning. …”
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Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform by Daigo Takano, Hajime Omura, Teruya Minamoto

“…Incorporating deep learning into computer-aided medical diagnosis has led to significant advancements. …”
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Statistical Risk Characteristics and Risk Scoring of Hospital-Acquired Malnutrition for Pediatric Patients by Khreshna Syuhada, Dessie Wanda, Risti Nur’aini, Chairun Ardiantari, Ayu Susilo

“…The findings showed several risk factors or characteristics for HaM prevalence: sex, age, medical diagnosis, diet, nutrition route, and NEWS score. …”
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Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection by Brendan Ubochi, Abayomi E. Olawumi, John Macaulay, Oyawoye I. Ayomide, Kayode F. Akingbade

“…Recently, computational models for image classification have enabled early detection of glaucoma from OCT scans of patients and will potentially augment the medical diagnosis of this disease. Models that are based on the convolutional neural networks (CNNs) have shown promise in the early detection of glaucoma. …”
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MEDICAL AND PSYCHOLOGICAL PORTRAIT OF PATIENTS DISSATISFIED WITH THE LEVEL OF DIAGNOSTIC RADIOLOGICAL CARE DURING THE COVID-19 PANDEMIC by Galyna Shcherbata, Oksana Kovalska

“…Based on the obtained data, certain psychological and medical features characteristic of individuals who were dissatisfied with the quality of medical diagnosis during the COVID-19 pandemic were identified, and their medical and psychological portrait was formed. …”
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Optimizing Breast Cancer Mammogram Classification Through a Dual Approach: A Deep Learning Framework Combining ResNet50, SMOTE, and Fully Connected Layers for Balanced and Imbalanc... by Abdullah Fahad A. Alshamrani, Faisal Saleh Zuhair Alshomrani

“…While deep learning shows promise in medical image analysis, the prevalence of imbalanced datasets in medical diagnosis hinders the development of accurate and reliable classification models. …”
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Variability of anti-Müllerian hormone and folliculotropic hormone levels in women of reproductive age in relation to normal or impaired ovarian function by Małgorzata Jusiakowska-Piputa, Maria Kaczmarek

“…Ovarian dysfunction was determined by a medical diagnosis. The study includes women with PCOS (n=154), POI (n=40), and control group (n=196) with normal ovarian function (NOF). …”
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Graphene Oxide-Gold Star Construct on Triangular Electrodes for Alzheimer’s Disease Identification by Wenlong Chang, Jing Zhao, Lu Liu, Xiaoming Xing, Chao Zhang, Huihong Meng, Subash C. B. Gopinath, Yonggang Liu

“…Nanotechnology is playing a major role in the field of medical diagnosis, in particular with the biosensor and bioimaging. …”
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An Alternative Model of Care for the Treatment of Adolescent Athletes with Extension-Based Low Back Pain: A Pilot Study. by Mitchell Selhorst, Richard Rodenberg, Nick Padgett, Anastasia Fischer, Reno Ravindran, James MacDonald

“…The current model of care for adolescent athletes with LBP is to first confirm a medical diagnosis of spondylolysis which frequently requires advanced imaging. …”
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Aqueous Ammonia Sensor with Neuromorphic Detection by Kateryna Vyshniakova, Mohammad Javad Mirshojaeian Hosseini, Huiwen Bai, Masoome Fatahi, Victor Marco Rocha Malacco, Shawn S Donkin, Richard M Voyles, Robert A. Nawrocki

“…Detecting such a low ammonia concentration is critical for environmental monitoring and medical diagnosis. The digitized nature of neuromorphic signal pre‐processing makes it more resilient for signal transmission in the presence of noise and serves as a demonstration of “smart sensing.”…”
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ReIU: an efficient preliminary framework for Alzheimer patients based on multi-model data by Hao Jiang, Hao Jiang, Yishan Qian, Yishan Qian, Yishan Qian, Liqiang Zhang, Liqiang Zhang, Tao Jiang, Tao Jiang, Yonghang Tai, Yonghang Tai

“…The advent of deep learning in medical diagnosis opens new possibilities for early AD detection. …”
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On Using a Mobile Application to Support Teledermatology: A Case Study in an Underprivileged Area in Colombia by Juan Pablo Sáenz, Mónica Paola Novoa, Darío Correal, Bell Raj Eapen

“…Moreover, ontologies—sets of concepts that represent knowledge in a given domain—are increasingly being used to support medical diagnosis. A specific case is ONTODerm: an ontology to aid dermatological diagnosis. …”
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The Life Mission Theory IV. Theory on Child Development by Soren Ventegodt, Joav Merrick

“…This often leads to complex medical diagnosis, giving the idea that the child is sick and without therapeutic reach, while sufficient holding could solve the problem. …”
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