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History of artificial intelligence in medicine
V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …
models prevented widespread acceptance and application to medicine. In the early 2000s …
Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health
E Loh - BMJ leader, 2018 - bmjleader.bmj.com
Artificial intelligence (AI) has the potential to significantly transform the role of the doctor and
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …
Making individual prognoses in psychiatry using neuroimaging and machine learning
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …
future, as opposed to making a diagnosis, which is concerned with the current state. During …
Recent advances in psychoradiology
Psychiatry, as a field, lacks objective markers for diagnosis, progression, treatment planning,
and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based …
and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based …
Challenges and future prospects of precision medicine in psychiatry
Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …
treatment, taking into consideration the individual clinical and biological characteristics …
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
Objectives The existence of anatomofunctional brain abnormalities in bipolar disorder (BD)
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …
is now well established by magnetic resonance imaging (MRI) studies. To create diagnostic …
Machine learning and big data analytics in bipolar disorder: a position paper from the International Society for Bipolar Disorders Big Data Task Force
Abstract Objectives The International Society for Bipolar Disorders Big Data Task Force
assembled leading researchers in the field of bipolar disorder (BD), machine learning, and …
assembled leading researchers in the field of bipolar disorder (BD), machine learning, and …
Artificial intelligence (AI) in medicine as a strategic valuable tool
A Larentzakis, N Lygeros - Pan African Medical Journal, 2021 - ajol.info
Humans' creativity led to machines that outperform human capabilities in terms of workload,
effectiveness, precision, endurance, strength, and repetitiveness. It has always been a vision …
effectiveness, precision, endurance, strength, and repetitiveness. It has always been a vision …
The role of biomarkers in psychiatry
M Lozupone, M La Montagna, F D'Urso… - Reviews on biomarker …, 2019 - Springer
Psychiatric illnesses are cognitive and behavioral disorders of the brain. At present,
psychiatric diagnosis is based on DSM-5 criteria. Even if endophenotype specificity for …
psychiatric diagnosis is based on DSM-5 criteria. Even if endophenotype specificity for …
Prediction of response to drug therapy in psychiatric disorders
Personalized medicine has become increasingly relevant to many medical fields, promising
more efficient drug therapies and earlier intervention. The development of personalized …
more efficient drug therapies and earlier intervention. The development of personalized …